Tight anti-Hermitian query complexity d_I = Θ(β_I T + log(1/ε)/log log(1/ε)) is established for non-Hermitian M-QSP, with impossibility of √(β_I T) fast-forwarding, new angle-finding algorithms, and extensions to time-dependent cases.
Lindblad, On the generators of quantum dynamical semigroups, Communications in mathematical physics48, 119 (1976)
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Bivariate quantum signal processing simulates non-Hermitian Hamiltonians H_eff = H_R + i H_I with query-optimal complexity O((α_R + β_I)T + log(1/ε)/log log(1/ε)) in the separate-oracle model.
A dynamical decoupling protocol enables fast high-fidelity gates on a central qubit coupled to targets, demonstrated via IBMQ simulation and adapted for 15NV centers in diamond.
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Optimal Bounds, Barriers, and Extensions for Non-Hermitian Bivariate Quantum Signal Processing
Tight anti-Hermitian query complexity d_I = Θ(β_I T + log(1/ε)/log log(1/ε)) is established for non-Hermitian M-QSP, with impossibility of √(β_I T) fast-forwarding, new angle-finding algorithms, and extensions to time-dependent cases.
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Simulation of Non-Hermitian Hamiltonians with Bivariate Quantum Signal Processing
Bivariate quantum signal processing simulates non-Hermitian Hamiltonians H_eff = H_R + i H_I with query-optimal complexity O((α_R + β_I)T + log(1/ε)/log log(1/ε)) in the separate-oracle model.
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Quantum Gates via Dynamical Decoupling of Central Qubit on IBMQ and 15NV Center in Diamond
A dynamical decoupling protocol enables fast high-fidelity gates on a central qubit coupled to targets, demonstrated via IBMQ simulation and adapted for 15NV centers in diamond.