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Photonic Quantum Computers
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In the pursuit of scalable and fault-tolerant quantum computing architectures, photonic-based quantum computers have emerged as a leading frontier. This article provides a comprehensive overview of advancements in photonic quantum computing, developed by leading industry players, examining current performance, architectural designs, and strategies for developing large-scale, fault-tolerant photonic quantum computers. It also highlights recent groundbreaking experiments that leverage the unique advantages of photonic technologies, underscoring their transformative potential. This review captures a pivotal moment of photonic quantum computing in the noisy intermediate-scale quantum (NISQ) era, offering insights into how photonic quantum computers might reshape the future of quantum computing.
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Cited by 6 Pith papers
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Heterogeneous architectures enable a 138x reduction in physical qubit requirements for fault-tolerant quantum computing under detailed accounting
Heterogeneous quantum architectures with task-specific hardware and QEC encodings deliver up to 138x lower physical-qubit overhead than monolithic baselines for fault-tolerant algorithms, including RSA-2048 factoring ...
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Quantum Computing in Discrete- and Continuous-Variable Architectures
The thesis introduces Gaussian-controlled rotations (GCR), a composite pulse that cancels oscillator-fluctuation errors in qubit rotations, enabling deterministic preparation of squeezed, cat, and GKP states and a pro...
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Invariants in Linear Optics
For fixed n and m, two n-photon states over m modes are equivalent under linear optics exactly when they agree on all members of a finite set of polynomial invariants.
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A Hardware-Efficient M{\o}lmer-S{\o}rensen Gate for Superconducting Quantum Computers
An MS gate compiled to one CNOT plus single-qubit rotations achieves 92.47% process fidelity on an IBM superconducting processor, roughly matching the native CX's 93.02%.
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Practical Fidelity Limits of Toffoli Gates in Superconducting Quantum Processors
Benchmarking a decomposed Toffoli gate on IBM quantum hardware yields 56-64% state fidelities, but the claimed state-dependent error pattern is confounded by using different devices.
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Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
The paper reviews noise sources in photonic quantum machine learning, their algorithm-specific impacts on accuracy and training, and strategies for mitigation.
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