Programmable energy-selective local reservoirs stabilize entangled single-excitation states in coupled superconducting qubits with fidelity up to 90.8% via parametric driving to readout resonators.
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Weak Gaussian noise in control fields makes dissipation grow linearly with steps in quantum equilibration, yielding a finite optimal step count and minimal dissipated work derived from quantum thermodynamic length.
Thermodynamic recycling of algorithmic failure branches enables information erasure with heat dissipation below the Landauer limit on a quantum processor.
Non-Markovian quantum Langevin analysis of simple LC and bandpass filter couplings to Josephson parametric devices yields modified gain profiles with bandwidth broadening beyond standard Markovian predictions.
Direct use of mechanical qubits from levitated particles for gravimetry achieves m^{-1/2} sensitivity scaling and 0.1 μGal/√Hz performance, outperforming traditional schemes by two orders of magnitude while reaching double standard quantum limits.
A system-level design methodology for scalable fluxonium processors with double-transmon couplers that supports high-fidelity gates, fast reset, and dispersive readout through frequency partitioning under realistic constraints.
Optimal single-site operators for multipartite nonlocality in 1D spin chains exhibit mirror symmetry and remain robust across phases in Ising-type models.
citing papers explorer
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Entangling Superconducting Qubits via Energy-Selective Local Reservoirs
Programmable energy-selective local reservoirs stabilize entangled single-excitation states in coupled superconducting qubits with fidelity up to 90.8% via parametric driving to readout resonators.
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Finite steps optimise dissipation in stochastically controlled quantum systems
Weak Gaussian noise in control fields makes dissipation grow linearly with steps in quantum equilibration, yielding a finite optimal step count and minimal dissipated work derived from quantum thermodynamic length.
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Thermodynamic Recycling of Algorithmic Failure Branches: Quantum-Computer Demonstration with Quantum Error Correction
Thermodynamic recycling of algorithmic failure branches enables information erasure with heat dissipation below the Landauer limit on a quantum processor.
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Modeling of simple bandpass filters: bandwidth broadening of Josephson parametric devices due to non-Markovian coupling to dressed transmission-line modes
Non-Markovian quantum Langevin analysis of simple LC and bandpass filter couplings to Josephson parametric devices yields modified gain profiles with bandwidth broadening beyond standard Markovian predictions.
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Quantum gravimetry with mechanical qubits
Direct use of mechanical qubits from levitated particles for gravimetry achieves m^{-1/2} sensitivity scaling and 0.1 μGal/√Hz performance, outperforming traditional schemes by two orders of magnitude while reaching double standard quantum limits.
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System-Level Design of Scalable Fluxonium Quantum Processors with Double-Transmon Couplers
A system-level design methodology for scalable fluxonium processors with double-transmon couplers that supports high-fidelity gates, fast reset, and dispersive readout through frequency partitioning under realistic constraints.
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Intrinsic Mirror Symmetry and Robustness of Optimal Nonlocal Operators in One-Dimensional Quantum Spin Chains
Optimal single-site operators for multipartite nonlocality in 1D spin chains exhibit mirror symmetry and remain robust across phases in Ising-type models.