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Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization
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abstract
Recent work has deployed linear combinations of unitaries techniques to reduce the cost of fault-tolerant quantum simulations of correlated electron models. Here, we show that one can sometimes improve upon those results with optimized implementations of Trotter-Suzuki-based product formulas. We show that low-order Trotter methods perform surprisingly well when used with phase estimation to compute relative precision quantities (e.g. energies per unit cell), as is often the goal for condensed-phase systems. In this context, simulations of the Hubbard and plane-wave electronic structure models with $N < 10^5$ fermionic modes can be performed with roughly $O(1)$ and $O(N^2)$ T complexities. We perform numerics revealing tradeoffs between the error and gate complexity of a Trotter step; e.g., we show that split-operator techniques have less Trotter error than popular alternatives. By compiling to surface code fault-tolerant gates and assuming error rates of one part per thousand, we show that one can error-correct quantum simulations of interesting, classically intractable instances with a few hundred thousand physical qubits.
Forward citations
Cited by 2 Pith papers
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Quantum Utility in Simulating the Real-time Dynamics of the Fermi-Hubbard Model using Superconducting Quantum Computers
A 104-qubit IBM quantum computer simulates the 1D Fermi-Hubbard model's staggered-magnetization dynamics with constant-depth Trotter circuits, matching MPS-TDVP up to time 4 but not at later times.
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Quantum Utility-Scale Error Mitigation for Quantum Quench Dynamics in Heisenberg Spin Chains
On IBM quantum processors, self-mitigation corrects noisy Trotterized quench dynamics of Heisenberg spin chains (up to 104 qubits, over 3,000 CNOT gates) more accurately and stably than zero-noise extrapolation.
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