From the 1 of 18 linked papers with an AI index.
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Matrix Product Evolution: A Method for Simulating Quantum Circuits Using Tensor Networks
Haruyuki Kawabe, Minoru Nagai, Tsuyoshi Okubo +1
Classical simulation of quantum circuits is an essential tool in quantum information science, but its applicability is constrained by the exponential growth of the Hilbert space an…
Parallel Hadamard Test
Soichiro Imamura, Synge Todo
The paper introduces a parallel Hadamard test that merges multiple Hadamard tests into a single quantum circuit, reducing the number of distinct circuit types and lowering computat…
Unbiased Hamiltonian Simulation by Reversing Trotter Error Dynamics
Keisuke Murota, Yuta Kikuchi, Enrico Rinaldi +3
Owing to their simplicity and low overhead, Suzuki-Trotter formulas remain the de facto Hamiltonian simulation methods on current quantum computing platforms. Systematic Trotter er…
Error-Mitigated Hamiltonian Simulation: Complexity Analysis and Optimization for Near-Term and Early-Fault-Tolerant Quantum Computers
Keisuke Murota, Synge Todo, Suguru Endo
Simulating real-time dynamics under a Hamiltonian is a central goal of quantum information science. While numerous Hamiltonian-simulation quantum algorithms have been proposed, the…
Simplification of tensor updates toward performance-complexity balanced quantum computer simulation
Koichi Yanagisawa, Tsuyoshi Okubo, Shota Koshikawa +3
Matrix Product States (MPS) provide a powerful framework for simulating quantum circuits. In practical simulations, tensor updates are typically performed in the canonical form (CF…
Bayesian inference of general noise-model parameters from the syndrome statistics of surface codes
Takumi Kobori, Synge Todo
The performance of error correction in the surface code can be enhanced by leveraging the knowledge of the noise model for physical qubits. To provide accurate noise information to…