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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QCPP implements polynomial transformations of Hamiltonians via stochastic mixtures of unitary channels, achieving a tunable tradeoff between query and sample complexity.
A workload-aware surface-code architecture with ancilla-centric patches and T-gate-based floorplanning reduces required data tiles by up to 21% while maintaining near-optimal cycles per instruction and reaching 90% efficiency for 10 concurrent programs.
Bloch-UPAW integrates Bloch orbitals and local UPAW corrections to enable lower-resource fault-tolerant quantum simulations of solids, showing roughly 10x Toffoli reduction for bulk diamond.
Quantum algorithm finds eigenvalues of parameterized matrix families by minimizing singular values and applies it to Schrödinger equation collocation with O(sqrt(N)) scaling.
citing papers explorer
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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 Channel Polynomial Processing
QCPP implements polynomial transformations of Hamiltonians via stochastic mixtures of unitary channels, achieving a tunable tradeoff between query and sample complexity.
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Toward designing workload-aware Surface Code Architectures
A workload-aware surface-code architecture with ancilla-centric patches and T-gate-based floorplanning reduces required data tiles by up to 21% while maintaining near-optimal cycles per instruction and reaching 90% efficiency for 10 concurrent programs.
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Fault-tolerant simulation of the electronic structure using Projector Augmented-Waves and Bloch orbitals
Bloch-UPAW integrates Bloch orbitals and local UPAW corrections to enable lower-resource fault-tolerant quantum simulations of solids, showing roughly 10x Toffoli reduction for bulk diamond.
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Quantum algorithm for solving generalized eigenvalue problems with application to the Schr\"odinger equation
Quantum algorithm finds eigenvalues of parameterized matrix families by minimizing singular values and applies it to Schrödinger equation collocation with O(sqrt(N)) scaling.