Fermion lattices can be simulated on same-size qubit lattices with O(1) interaction overhead by dynamically reorienting the Jordan-Wigner transformation.
Litinski, A Game of Surface Codes: Large-Scale Quan- tum Computing with Lattice Surgery, Quantum3, 128 (2019)
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First end-to-end demonstration of quantum error correction integrated with quantum phase estimation to compute molecular hydrogen ground-state energy to 0.001(13) hartree accuracy on Quantinuum H2-2 hardware.
Trotter error cancellation in nanographene simulations reduces circuit depth by about 10x for quantum phase estimation of energy gaps to chemical accuracy in the Pariser-Parr-Pople model.
The work identifies a fidelity crossover separating distillation-dominated and no-distillation regimes for remote entanglement in lattice surgery, with up to 100x or >50% resource savings depending on the side of the threshold.
AL-QHD benchmarks on nonconvex test functions and ACOPF power problems show useful accuracy at fixed qubit cost but require roughly 10^8 T gates for realistic instances.
citing papers explorer
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Fermion lattices can be simulated by same-size qubit lattices with $\mathcal{O}(1)$ interaction overhead
Fermion lattices can be simulated on same-size qubit lattices with O(1) interaction overhead by dynamically reorienting the Jordan-Wigner transformation.
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Quantum Error-Corrected Computation of Molecular Energies
First end-to-end demonstration of quantum error correction integrated with quantum phase estimation to compute molecular hydrogen ground-state energy to 0.001(13) hartree accuracy on Quantinuum H2-2 hardware.
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Quantum simulation of nanographenes and Trotter error cancellation
Trotter error cancellation in nanographene simulations reduces circuit depth by about 10x for quantum phase estimation of energy gaps to chemical accuracy in the Pariser-Parr-Pople model.
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Remote Entanglement in Lattice Surgery: To Distill, or Not to Distill
The work identifies a fidelity crossover separating distillation-dominated and no-distillation regimes for remote entanglement in lattice surgery, with up to 100x or >50% resource savings depending on the side of the threshold.
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Benchmarking and Resource Analysis for Augmented-Lagrangian Quantum Hamiltonian Descent
AL-QHD benchmarks on nonconvex test functions and ACOPF power problems show useful accuracy at fixed qubit cost but require roughly 10^8 T gates for realistic instances.
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