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  3. Bridging the Quantum-Biology Divide: Synthesis and In-Vivo Application of Fluorescent Protein Qubits for High-Fidelity Sensing and Diagnostics
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Bridging the Quantum-Biology Divide: Synthesis and In-Vivo Application of Fluorescent Protein Qubits for High-Fidelity Sensing and Diagnostics

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Research Report: Bridging the Quantum-Biology Divide: Synthesis and In-Vivo Application of Fluorescent Protein Qubits for High-Fidelity Sensing and Diagnostics

Executive Summary

This report synthesizes extensive research on the emergent field of fluorescent protein quantum bits (FPQs), evaluating the extent to which they can bridge the gap between biological systems and quantum information processing to enable high-fidelity in-vivo sensing and diagnostics. The findings reveal a technology of profound potential, marked by foundational breakthroughs and significant, though surmountable, challenges.

The central achievement is the successful synthesis and coherent control of quantum bits from genetically encodable fluorescent proteins, particularly an Enhanced Yellow Fluorescent Protein (EYFP), within living systems. Researchers have demonstrated the initialization, manipulation (via Rabi oscillations), and optical readout of the quantum spin state of these proteins inside bacterial cells at room temperature and in human cells at near-physiological temperatures (175 K). This establishes a tangible, functional bridge between the disparate worlds of quantum physics and cellular biology.

The paramount advantage of FPQs over conventional solid-state quantum sensors, such as nitrogen-vacancy (NV) centers in nanodiamonds, is their genetic encodability. This allows host cells to endogenously produce the quantum sensors, enabling their precise placement at specific subcellular locations with atomic precision. This native integration circumvents critical challenges of delivery, targeting, and biocompatibility, representing a paradigm shift in the design of quantum materials. The potential applications are transformative, ranging from nanoscale monitoring of protein folding and redox states to in-cell magnetic resonance, advanced multiplexed imaging, and early disease detection.

However, the technology's current capacity for high-fidelity diagnostics is limited. The primary obstacle is quantum decoherence within the "warm, wet, and noisy" cellular environment, which rapidly degrades the fragile quantum states. Current performance metrics reflect this challenge: while spin readout contrast can reach 44% under cryogenic conditions, it drops to 3-8% at room temperature. Coherence times are modest (~16 microseconds at 175 K), and magnetic field sensitivity (millitesla range at room temperature) is several orders of magnitude lower than that of mature solid-state systems. Additional operational hurdles include photobleaching, low photon-yield readout, and background autofluorescence.

A clear strategic path forward has been identified to address these limitations. This involves a dual-pronged approach combining molecular engineering—using techniques like directed evolution and deuterium substitution to create more robust proteins—and systems integration, developing advanced optical control and readout schemes like Optically Activated Delayed Fluorescence (OADF). A pragmatic 15-year roadmap outlines the phased progression from foundational enhancement in cell models to pre-clinical translation in animal models, underscoring the necessity of sustained, interdisciplinary collaboration across quantum physics, molecular biology, engineering, and clinical science.

In conclusion, the synthesis of fluorescent protein qubits has successfully created a foundational bridge, proving that quantum mechanics can be harnessed within living organisms. The extent of this bridge is currently defined by proof-of-concept demonstrations. While not yet capable of high-fidelity diagnostics, the clear identification of current limitations and the articulation of a strategic research roadmap provide a plausible pathway to transform this revolutionary science from a laboratory curiosity into a powerful tool for biological discovery and medical innovation.

1. Introduction

The convergence of quantum information science and biology promises to unlock unprecedented insights into the fundamental processes of life and revolutionize medical diagnostics. At the heart of this convergence lies the quest for quantum sensors—devices capable of measuring physical quantities with a precision dictated by the laws of quantum mechanics. For decades, the development of such sensors has been confined to the highly controlled, non-biological environments of physics laboratories, typically requiring cryogenic temperatures and high vacuum. The primary challenge has been bridging the gap between these exquisitely sensitive but fragile quantum systems and the dynamic, complex, and "noisy" environment of a living cell.

Conventional approaches, such as nitrogen-vacancy (NV) centers in nanodiamonds, have shown remarkable sensitivity but face persistent obstacles in biocompatibility, cellular delivery, and precise subcellular targeting. These exogenous materials remain foreign entities within the biological system, raising concerns about toxicity and long-term fate. This context highlights the need for a new class of quantum sensor that is not merely compatible with life, but is an integral part of it.

This report addresses a transformative new direction in this field, centered on the research query: To what extent can the synthesis of room-temperature quantum bits from fluorescent proteins bridge the gap between biological systems and quantum information processing to enable high-fidelity in-vivo quantum sensing and diagnostics?

Fluorescent proteins (FPs), derived from organisms like jellyfish, are ubiquitous tools in molecular biology, prized for their ability to be genetically encoded and used as reporters for imaging cellular structures and processes. Recent breakthroughs have demonstrated that these biological molecules can be repurposed into functional quantum bits (qubits), capable of storing and processing quantum information. This research synthesizes the findings from a comprehensive investigation into this technology, detailing the mechanisms of FPQ synthesis and operation, their demonstrated quantum properties, the unparalleled advantages conferred by their biological nature, and the significant hurdles that must be overcome to achieve high-fidelity performance. The report analyzes the current state of the art, outlines a strategic roadmap for future development, and provides a conclusive assessment of the extent to which this technology is poised to redefine the boundaries of biological sensing and diagnostics.

2. Key Findings

The research provides a multi-faceted view of the fluorescent protein qubit platform, detailing its synthesis, operational principles, performance characteristics, and future trajectory. The findings are organized thematically below.

2.1 Synthesis and Coherent Control of Protein-Based Qubits in Living Systems

A foundational breakthrough has been the successful engineering and operation of qubits from fluorescent proteins, primarily the Enhanced Yellow Fluorescent Protein (EYFP). The quantum functionality is not derived from the protein's primary fluorescence but from an intrinsic, metastable "triplet state" within its chromophore. Researchers have established a robust protocol for quantum control:

  • Initialization: An optical laser pulse (e.g., 488 nm) excites the protein, which then undergoes intersystem crossing to populate a long-lived, spin-polarized triplet state, preparing the qubit in a known initial state.
  • Manipulation: Applied microwave pulses are used to coherently drive the electron spin between its sublevels. The definitive demonstration of robust Rabi oscillations confirms that the protein functions as a controllable two-level quantum system.
  • Readout: A novel technique, Optically Activated Delayed Fluorescence (OADF), uses a near-infrared laser pulse to trigger a reverse intersystem crossing, resulting in a delayed fluorescence photon whose emission is correlated to the final spin state. This method effectively separates the qubit signal from the cell's rapid autofluorescence, enhancing the signal-to-noise ratio.

Crucially, this entire protocol has been successfully implemented not only with purified proteins but also within living cells. Coherent control has been demonstrated in Escherichia coli bacteria at room temperature and in human embryonic kidney (HEK 293T) cells at 175 Kelvin (-98.15 °C), confirming that quantum coherence can be maintained and manipulated within the complex milieu of a living organism.

2.2 The Paramount Advantage of Genetic Encodability

The single most transformative feature of FPQs is their genetic encodability, which fundamentally distinguishes them from all solid-state quantum sensors.

  • Inherent Biocompatibility and Endogenous Production: Unlike NV centers in nanodiamonds or quantum dots, which are synthetic nanoparticles that must be physically delivered into cells, FPQs can be encoded in an organism's DNA. The cell's own machinery then synthesizes the quantum sensors, eliminating challenges related to delivery efficiency, cytotoxicity, and foreign body response.
  • Precise Subcellular Targeting: Genetic tools, such as protein fusion, allow the FPQ to be attached to a specific protein of interest or targeted to a precise location within a subcellular organelle (e.g., nucleus, mitochondria). This enables nanoscale sensing with atomic-scale precision, a capability inaccessible to externally delivered probes.
  • A Paradigm Shift in Quantum Materials: This approach represents a "radically different" method for creating quantum devices. Instead of forcing a synthetic material into a biological context, it leverages the tools of molecular biology and evolution to build the quantum sensor from the bottom up, ensuring it is a native component of the very system it is designed to probe.

2.3 Quantified Quantum Performance and Environmental Dependencies

The practical utility of FPQs is determined by their performance metrics, which have been quantitatively characterized. A consistent finding is the strong trade-off between optimal quantum performance and operation at physiologically relevant temperatures.

Performance MetricCryogenic Conditions (e.g., 175 K)Room TemperatureSignificance
Spin Coherence Time (T2)~16 µs (with CPMG decoupling)Quantum coherence survives, but precise T2 not yet reported in literature.Defines the timescale for which quantum information is preserved; longer times allow for more complex sensing protocols.
Spin-Lattice Relaxation (T1)~141 µsShorter than at cryogenic temperatures.Sets the upper limit on the qubit's lifetime in a given energy state.
Spin Readout ContrastUp to 44% (using specific NIR readout pulses)3% (in aqueous solution) to 8% (in bacteria)The percentage change in fluorescence between spin states; higher contrast leads to better signal-to-noise ratio (SNR).
Magnetic Field SensitivityAC: 183 fT mol½ Hz⁻½ <br> DC: 93 pT mol½ Hz⁻½ (upper bounds)DC: ~2.7 mT Hz⁻¹ᐟ² (for an ensemble)The ability to detect weak magnetic fields; a key metric for many biological sensing applications.

These metrics establish that while FPQs are functional quantum systems, their performance, particularly at room temperature, is modest compared to mature solid-state platforms like NV centers, which can achieve millisecond coherence times and nanotesla sensitivity.

2.4 Significant Hurdles to High-Fidelity In-Vivo Operation

The translation of FPQs into high-fidelity diagnostic tools is hindered by several fundamental and technical challenges.

  • The "Warm, Wet, and Noisy" Environment: The primary adversary is the cellular interior itself. Constant thermal and molecular motion, fluctuating pH and ion concentrations, and stray electromagnetic fields create a noisy environment that rapidly causes quantum decoherence, erasing the fragile quantum information stored in the qubit.
  • Operational and Photophysical Limitations:
    • Photobleaching: Like all fluorescent proteins, FPQs are susceptible to irreversible photodamage from repeated laser excitation, limiting the duration of measurements and the total signal that can be collected from a single sensor.
    • Low Readout Efficiency: The OADF readout method, while providing high contrast, yields at most one photon per molecule per measurement cycle. This low quantum yield necessitates significant signal averaging, slowing down data acquisition.
    • Spin Depolarization: The metastable triplet state used for the qubit can exhibit rapid spin depolarization, which complicates efficient readout and reduces overall sensitivity.
  • System-Level and Biological Challenges:
    • Autofluorescence: Biological tissues and cells contain endogenous molecules that fluoresce naturally, creating a significant background signal that can obscure the fainter signal from the FPQ.
    • Light Penetration: The optical scattering and absorption by biological tissues, particularly by hemoglobin, limit the penetration depth of the excitation and readout lasers, posing a major challenge for deep-tissue in-vivo applications.

2.5 A Strategic Pathway for Advancement and Clinical Translation

Research has identified a clear and structured pathway to overcome the current limitations, combining molecular-level engineering with system-level innovations.

  • Molecular Engineering Strategies:
    • Directed Evolution: This powerful technique mimics natural selection in the laboratory to screen vast libraries of protein variants for enhanced quantum properties, such as longer coherence times, greater photostability, and higher signal contrast.
    • Deuterium Substitution: Replacing hydrogen atoms near the chromophore with deuterium, which has a smaller magnetic moment, is a proposed strategy to reduce magnetic noise from the nuclear spin bath and extend coherence times.
    • Rational Protein Design: Engineering the protein structure to create a more rigid and protective "molecular bumper" around the chromophore can better shield the qubit from environmental fluctuations.
  • A Phased 15-Year Roadmap: A pragmatic, multi-decade roadmap has been proposed for translating this technology to the clinic:
    • Phase 1 (Years 1-5): Foundational Enhancement: Focus on engineering next-generation FPQs with superior quantum properties and developing advanced optical control systems for use in 2D cell culture models.
    • Phase 2 (Years 6-10): In-vivo Optimization: Transition to 3D tissue models and small animal studies, developing targeted delivery methods and prototyping advanced applications like multiplexed imaging.
    • Phase 3 (Years 11-15): Pre-clinical Translation: Develop clinical-grade FPQs, build integrated deep-tissue imaging systems for large animal trials, and engage with regulatory bodies to establish approval pathways.

2.6 Expanding the Biophotonic Palette Beyond EYFP

While EYFP has been the workhorse for initial demonstrations, the field is actively exploring a diverse range of other proteins to expand the capabilities of the platform.

  • Cryptochromes: These proteins are of high interest as they are implicated in magnetoreception in birds and utilize a natural, light-induced radical-pair mechanism—an intrinsically quantum process that could be harnessed for highly sensitive magnetometry.
  • Venus YFP: As a well-characterized, bright, and robust derivative of YFP, Venus is a logical candidate for incremental performance improvements.
  • Future Candidates: High-performance proteins like mScarlet (known for its record brightness) and Dronpa (a photoswitchable protein) are being considered. If their chromophores can host stable, manipulable triplet states, their superior optical properties could directly translate into improved qubit readout fidelity and longevity.

3. Detailed Analysis

This section provides a deeper exploration of the key findings, synthesizing details from across the research phases to build a comprehensive analytical picture of the fluorescent protein qubit platform.

3.1 The Biological Qubit: Mechanism, Operation, and Inherent Shielding

The transformation of a fluorescent protein into a quantum bit is a feat of interdisciplinary science. The operational core is the chromophore's metastable triplet state (T1), which possesses a net electron spin that can exist in a superposition of its sublevels. The protein's structure is not merely a scaffold but an active component of the qubit system. The chromophore is buried deep within a rigid, cavity-like beta-barrel structure. This natural architecture provides crucial insulation, shielding the delicate quantum state from the fluctuating electric fields and random molecular collisions of the crowded cytoplasm. This inherent "molecular bumper" is a key reason why quantum coherence can be maintained at all in such a hostile environment, a feat that challenges the conventional wisdom that quantum effects require near-absolute zero temperatures.

The control protocol is a precise sequence of optical and microwave pulses. Initialization via intersystem crossing (ISC) populates the T1 state. The efficiency of this process is a critical parameter that determines the initial qubit population. Manipulation with microwaves induces Rabi oscillations, the coherent flipping of the spin state, which is the definitive signature of a controllable qubit. The most innovative element is the readout via Optically Activated Delayed Fluorescence (OADF). By using a near-infrared laser to induce a reverse ISC (RISC), the protocol generates a fluorescence signal that is temporally decoupled from the cell's background autofluorescence, which decays on a nanosecond timescale. This provides a high-contrast, low-background signal essential for in-vivo measurements.

3.2 Genetic Encodability: A Paradigm Shift for In-Vivo Sensing

The ability to genetically encode quantum sensors is arguably the most disruptive aspect of this technology. It fundamentally reframes the challenge of in-vivo quantum sensing from a materials delivery problem to a genetic engineering problem. Solid-state sensors like NV diamonds, despite their superior quantum properties, must be fabricated externally, functionalized for biocompatibility, and then physically introduced into cells—a process fraught with low efficiency, poor targeting specificity, and potential cytotoxicity.

FPQs bypass these issues entirely. By introducing the gene for the engineered protein, the cell becomes the factory, producing its own quantum sensors. This "bottom-up" approach enables applications previously unimaginable:

  • Nanoscale Proximity Sensing: An FPQ can be genetically fused to a target protein, placing the sensor just nanometers away from its subject. This could allow for real-time monitoring of conformational changes during protein folding or the detection of a drug molecule binding to its receptor.
  • Organelle-Specific Probes: FPQs can be engineered with signal peptides that direct them to specific organelles like mitochondria or the endoplasmic reticulum, allowing researchers to probe the unique microenvironments within these structures.
  • Multiplexed Imaging: By developing a palette of FPQs with distinct quantum resonance signatures (i.e., they respond to different microwave frequencies), it becomes possible to create a new form of multiplexed imaging. This would use quantum properties, rather than just emission color, as a contrast mechanism, allowing for the simultaneous tracking of a much larger number of cellular processes.

3.3 The Quantum-Biology Interface: A Performance-Versus-Environment Trade-Off

The data clearly illustrates the central tension in this field: the trade-off between the high performance achievable in controlled, cryogenic environments and the degraded but still functional performance in warm, physiological conditions. The drop in spin contrast from 44% at 175 K to ~3-8% at room temperature is a stark indicator of the impact of thermal energy. Increased molecular vibrations and collisions in the warm environment lead to faster spin depolarization and a "leakage" of the qubit state, reducing readout fidelity.

Similarly, coherence times are expected to be significantly shorter at room temperature. While the ~16 µs T2 time measured at 175 K is a promising starting point for a molecular system, it limits the complexity of quantum sensing protocols that can be implemented. More advanced protocols, which are necessary for achieving the highest sensitivities, require the qubit to remain coherent for longer periods to allow for more manipulation steps.

The reported sensitivities highlight this gap. The femtotesla-to-picotesla sensitivities achieved under cryogenic conditions are impressive and approach biologically relevant regimes. However, the millitesla-level sensitivity reported for ensembles at room temperature is currently insufficient for detecting the extremely subtle biomagnetic fields associated with processes like neural activity (nanotesla range) or the action of single enzymes. Bridging this sensitivity gap is the primary objective of the engineering strategies outlined in the research.

3.4 A Multi-Pronged Strategy for Overcoming Current Limitations

The path to high-fidelity FPQs is not reliant on a single breakthrough but on the synergistic combination of multiple engineering strategies.

Directed evolution is perhaps the most powerful tool in the arsenal. By creating vast libraries of protein mutants and applying selection pressures for desired traits (e.g., survival under intense laser illumination for photostability, or high ODMR contrast for readout fidelity), this process can explore a parameter space of protein designs that is far too vast for rational, a-priori design. It leverages nature's own optimization algorithm to build better quantum devices.

Chemical modifications like deuteration offer a more targeted approach. The magnetic "noise" from the dense bath of surrounding hydrogen nuclei is a primary source of spin decoherence. By growing the host cells in a deuterium-enriched medium, the hydrogen atoms in the protein structure are replaced by deuterium. Because deuterium has a much smaller magnetic moment, this substitution is projected to quiet the local magnetic environment and could extend coherence times by an order of magnitude, potentially pushing them towards 100 µs.

On the systems side, further refinement of optical control and readout is critical. While OADF is a major advance, its one-photon-per-molecule limitation is a bottleneck. Future research will likely focus on developing hybrid schemes that might combine the high contrast of OADF with a short burst of fluorescence cycling to amplify the signal, or on engineering proteins with more efficient ISC and RISC pathways to improve the overall quantum yield of the readout process. The development of biocompatible hardware, such as the Quantum Biosensing Chip (Q-BiC), is also essential for delivering the necessary microwave fields without perturbing or damaging the biological sample.

3.5 The Future Application Space: From Single-Cell NMR to Clinical Diagnostics

Overcoming the current technical hurdles would unlock a suite of revolutionary applications. The ability to place a highly sensitive magnetic field probe inside a living cell opens the door to performing nuclear magnetic resonance (NMR) or electron spin resonance (ESR) on single molecules or organelles. This could provide structural and dynamic information about biomolecules in their native context, a capability far beyond the reach of current technologies which require large ensembles of purified molecules.

In diagnostics, FPQs could function as reporters for the subtle molecular changes that herald the onset of disease. For example, sensors targeted to specific enzymes could detect changes in their local redox environment, providing an early warning sign for oxidative stress-related pathologies. In pharmacology, FPQs fused to drug targets could provide direct, real-time feedback on drug binding and efficacy inside a living cell, dramatically accelerating the drug discovery pipeline.

The 15-year roadmap provides a realistic framework for achieving these goals. It acknowledges that the path is long and requires incremental progress. Early successes will likely be in fundamental cell biology research using 2D cultures. As the technology matures, it will move into more complex 3D organoid models and eventually small animal imaging, focusing initially on superficial tissues before tackling the challenge of deep-tissue penetration. Proactive engagement with regulatory bodies throughout this process will be crucial to ensure that the final technology meets the stringent safety and efficacy standards required for clinical use.

4. Discussion

The synthesis of fluorescent protein qubits represents a landmark achievement at the intersection of quantum physics, molecular biology, and bioengineering. It has successfully established a foundational bridge between the quantum and biological realms by demonstrating that the principles of coherent quantum control are not alien to living systems but can be implemented within them. This research effectively solves the long-standing "delivery problem" that has hindered other in-vivo quantum sensing platforms. By making the sensor a genetically encoded, endogenously produced component, the technology ensures perfect biocompatibility and enables a level of targeting precision that was previously unattainable.

However, in solving the delivery problem, the field has brought the "in-vivo performance problem" into sharp focus. The core challenge has shifted from getting the sensor to the right place to making the sensor work with high fidelity once it is there. The current performance of FPQs, while sufficient for proof-of-concept demonstrations, is not yet competitive with established solid-state sensors for high-sensitivity applications. The central duality of the technology is that its greatest strength—its intimate integration with the biological environment—is also the source of its greatest weakness: vulnerability to decoherence from that same environment.

The path forward, as outlined by the identified research strategies, is fundamentally interdisciplinary. Success is not contingent on a breakthrough in a single field, but on a tightly woven collaboration. Quantum physicists must devise more sophisticated pulse sequences to protect the qubits from noise. Protein engineers must use tools like directed evolution to build more robust molecular sensors. Optical engineers must design microscopes capable of deep-tissue imaging and control. And computational scientists must develop AI-driven algorithms to both guide protein design and de-noise the complex quantum signals emerging from the biological background.

This technology forces a re-evaluation of the boundary between a measurement device and the system being measured. The FPQ is not an external probe observing a cell; it is part of the cell, observing itself. This has profound implications for biological research, potentially allowing for measurements of cellular processes with minimal perturbation. The long-term vision of performing MRI on individual cells or mapping the real-time firing of a neural network with molecular-scale resolution, while still distant, is now a more plausible scientific goal. The successful construction of this quantum-biology bridge, even in its current nascent state, marks a pivotal moment, opening a new frontier of scientific inquiry.

5. Conclusions

This comprehensive research synthesis directly addresses the query of the extent to which fluorescent protein qubits can bridge the gap between biology and quantum information processing for in-vivo diagnostics. The conclusion is one of qualified but profound success. A tangible and revolutionary bridge has been constructed.

1. The Bridge is Foundational and Functional: The synthesis and successful operation of genetically encoded qubits within living cells at room and near-physiological temperatures is a monumental scientific achievement. It definitively proves that the fundamental principles of quantum control and molecular biology are not mutually exclusive. This moves quantum sensing from an external observation tool to an internal, integrated component of the biological system itself, thus bridging the conceptual and physical divide between the two fields.

2. The Extent of High-Fidelity Application is Currently Limited: While the bridge exists, its current load-bearing capacity is modest. The "extent" to which it enables high-fidelity sensing and diagnostics is presently limited by performance metrics. Modest coherence times, lower sensitivity compared to solid-state alternatives, and challenges like photobleaching and low readout efficiency prevent the immediate detection of the subtle biological signals relevant for many diagnostic applications. The technology currently enables novel in-vivo inquiry but does not yet support routine, high-fidelity diagnostics.

3. A Clear Path to Strengthening the Bridge Exists: The research has not only identified the limitations but has also illuminated a clear and plausible, albeit challenging, pathway toward overcoming them. This path is rooted in leveraging the tools of biology itself—namely, directed evolution and protein engineering—in concert with advanced quantum control protocols and optical systems. The proposed 15-year roadmap transforms the speculative promise of the technology into a series of concrete scientific and engineering goals.

In summary, fluorescent protein qubits represent a paradigm shift. They have successfully bridged the gap by demonstrating the feasibility of in-situ, biocompatible quantum sensing. While substantial improvements are required to transition from feasibility to high-fidelity application, the fundamental advantages of genetic encodability and the powerful optimization tools of synthetic biology position this technology as a potentially disruptive force. The future impact will be directly proportional to the sustained, interdisciplinary investment in realizing this potential. The bridge is built; the task now is to widen and strengthen it to carry the full weight of future biological discovery and medical innovation.

References

Total unique sources: 138

IDSourceIDSourceIDSource
[1]sciencenews.org[2]livescience.com[3]thequantuminsider.com
[4]singularityhub.com[5]thebrighterside.news[6]bioengineer.org
[7]physicsworld.com[8]beehiiv.com[9]arxiv.org
[10]joshuaberkowitz.us[11]nih.gov[12]hamamatsu.com
[13]aip.org[14]rsc.org[15]nih.gov
[16]thebrighterside.news[17]thequantuminsider.com[18]livescience.com
[19]chicagoquantum.org[20]beehiiv.com[21]thequantuminsider.com
[22]arxiv.org[23]sciencenews.org[24]scienmag.com
[25]emergentmind.com[26]biorxiv.org[27]arxiv.org
[28]nih.gov[29]thequantuminsider.com[30]arxiv.org
[31]youtube.com[32]nih.gov[33]arxiv.org
[34]thebrighterside.news[35]livescience.com[36]beehiiv.com
[37]bioengineer.org[38]bioengineer.org[39]emergentmind.com
[40]physicsworld.com[41]sciencenews.org[42]joshuaberkowitz.us
[43]chicagoquantum.org[44]singularityhub.com[45]quantumcomputingreport.com
[46]thequantuminsider.com[47]physicsworld.com[48]biocompare.com
[49]plos.org[50]nih.gov[51]molbiolcell.org
[52]mdpi.com[53]youtube.com[54]unep.org
[55]benzatine.com[56]singularityhub.com[57]nih.gov
[58]arxiv.org[59]livescience.com[60]extremetech.com
[61]arxiv.org[62]escholarship.org[63]arxiv.org
[64]frontiersin.org[65]researchgate.net[66]bioengineer.org
[67]thequantuminsider.com[68]livescience.com[69]mdpi.com
[70]scispace.com[71]mdpi.com[72]nih.gov
[73]arxiv.org[74]physicsworld.com[75]thequantuminsider.com
[76]joshuaberkowitz.us[77]livescience.com[78]sciencenews.org
[79]singularityhub.com[80]uchicago.edu[81]movetheneedle.news
[82]emergentmind.com[83]nih.gov[84]arxiv.org
[85]thequantuminsider.com[86]youtube.com[87]uchicago.edu
[88]emory.edu[89]sciencenews.org[90]bioengineer.org
[91]arxiv.org[92]physicsworld.com[93]scienmag.com
[94]arxiv.org[95]thequantuminsider.com[96]livescience.com
[97]uchicago.edu[98]sciencenews.org[99]physicsworld.com
[100]nih.gov[101]efbpublic.org[102]rsc.org
[103]usc.edu[104]illinois.edu[105]thequantuminsider.com
[106]aip.org[107]myscience.org[108]hku.hk
[109]nih.gov[110]photonics.com[111]thequantuminsider.com
[112]arxiv.org[113]bioengineer.org[114]nih.gov
[115]uchicago.edu[116]scienmag.com[117]emergentmind.com
[118]arxiv.org[119]physicsworld.com[120]livescience.com
[121]beehiiv.com[122]sciencenews.org[123]researchgate.net
[124]emergentmind.com[125]thequantuminsider.com[126]physicsworld.com
[127]arxiv.org[128]quantumcomputingreport.com[129]beehiiv.com
[130]livescience.com[131]thebrighterside.news[132]sciencenews.org
[133]martenpostma.nl[134]fpbase.org[135]nih.gov
[136]researchgate.net[137]uva.nl[138]nih.gov

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