Proposes integrating parameterized dissipative blocks via ancilla coupling and reset into variational quantum circuits for broader mixed-state preparation in optimization and recovery applications.
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Constructs geometrically local dissipative dynamics that prepare injective tensor network states in O(log(N/ε)) time for 1D MPS and high-injectivity higher-D cases.
Resonance engineering with Jaynes-Cummings interactions realizes constant-depth n-qubit fanout gates with linear error scaling.
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.
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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.