Resonance engineering with Jaynes-Cummings interactions realizes constant-depth n-qubit fanout gates with linear error scaling.
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Purely dissipative Lindbladians without Hamiltonian part can approximate unitary dynamics to ε error in diamond norm with O(t²/ε) time, which is optimal for time-independent cases.
Resource estimates for quantum simulation of pionless and pionful nuclear lattice EFTs, including time evolution and energy estimation, with new error bounds from symmetries and locality yielding orders-of-magnitude improvements for the pionless case.
New criteria reveal VQE needs fault-tolerant quantum computers due to decoherence and QPE has exponentially suppressed success probability from orthogonality catastrophe in classical input states.
QuTiP 5 updates the Quantum Toolbox in Python with data layer changes for JAX and CuPy support, new solvers, QuTiP-QIP for circuits, and QuTiP-QOC for control.
The paper identifies four key hurdles in the transition from NISQ to FASQ quantum computers and argues that targeting them will accelerate progress toward useful quantum advantage.
citing papers explorer
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Quantum Fanout Gates in Constant Depth via Resonance Engineering
Resonance engineering with Jaynes-Cummings interactions realizes constant-depth n-qubit fanout gates with linear error scaling.
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Hamiltonian dynamics from pure dissipation
Purely dissipative Lindbladians without Hamiltonian part can approximate unitary dynamics to ε error in diamond norm with O(t²/ε) time, which is optimal for time-independent cases.
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Quantum Algorithms for Simulating Nuclear Effective Field Theories
Resource estimates for quantum simulation of pionless and pionful nuclear lattice EFTs, including time evolution and energy estimation, with new error bounds from symmetries and locality yielding orders-of-magnitude improvements for the pionless case.
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Feasibility of performing quantum chemistry calculations on quantum computers
New criteria reveal VQE needs fault-tolerant quantum computers due to decoherence and QPE has exponentially suppressed success probability from orthogonality catastrophe in classical input states.
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QuTiP 5: The Quantum Toolbox in Python
QuTiP 5 updates the Quantum Toolbox in Python with data layer changes for JAX and CuPy support, new solvers, QuTiP-QIP for circuits, and QuTiP-QOC for control.
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Mind the gaps: The fraught road to quantum advantage
The paper identifies four key hurdles in the transition from NISQ to FASQ quantum computers and argues that targeting them will accelerate progress toward useful quantum advantage.