dp-VQD combines projected variational quantum dynamics with wire cutting to run Hamiltonian evolution on more qubits than a single device has, using cuttable ansatze and a sliced Trotter step.
Low-depth circuit ansatz for preparing correlated fermionic states on a quantum computer
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abstract
Quantum simulations are bound to be one of the main applications of near-term quantum computers. Quantum chemistry and condensed matter physics are expected to benefit from these technological developments. Several quantum simulation methods are known to prepare a state on a quantum computer and measure the desired observables. The most resource economic procedure is the variational quantum eigensolver (VQE), which has traditionally employed unitary coupled cluster as the ansatz to approximate ground states of many-body fermionic Hamiltonians. A significant caveat of the method is that the initial state of the procedure is a single reference product state with no entanglement extracted from a classical Hartree-Fock calculation. In this work, we propose to improve the method by initializing the algorithm with a more general fermionic Gaussian state, an idea borrowed from the field of nuclear physics. We show how this Gaussian reference state can be prepared with a linear-depth circuit of quantum matchgates. By augmenting the set of available gates with nearest-neighbor phase coupling, we generate a low-depth circuit ansatz that can accurately prepare the ground state of correlated fermionic systems. This extends the range of applicability of the VQE to systems with strong pairing correlations such as superconductors, atomic nuclei, and topological materials.
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Distributed Quantum Dynamics on Near-Term Quantum Processors
dp-VQD combines projected variational quantum dynamics with wire cutting to run Hamiltonian evolution on more qubits than a single device has, using cuttable ansatze and a sliced Trotter step.