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This research introduces an adaptive variational circuit that significantly reduces simulation depth for open quantum systems, directly addressing resource constraints on NISQ hardware. By enabling ancilla-free trajectory sampling and stable approximations of Lindbladian dynamics, the method offers a practical pathway to modeling complex dissipative environments without requiring additional qubits or excessive computational overhead.
Adaptive Circuit Cuts Quantum Simulation Depth for Open Systems

Simulating open quantum systems now requires less depth, thanks to an algorithm using adaptive variational quantum trajectory compression.
Researchers have developed an algorithm that reduces the computational demands of simulating complex, real-world quantum systems on current quantum hardware. The team reports a method for simulating Lindbladian dynamics, the behavior of open quantum systems subject to environmental noise, by…
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