1.5k citations · 3.3k across the 10 of their papers we have counts for
11 papers
Phase estimation with randomized Hamiltonians
Ian D. Kivlichan, Christopher E. Granade, Nathan Wiebe
Iterative phase estimation has long been used in quantum computing to estimate Hamiltonian eigenvalues. This is done by applying many repetitions of the same fundamental simulation…
Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization
Ian D. Kivlichan, Craig Gidney, Dominic W. Berry +9
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…
Quantum Chemistry in the Age of Quantum Computing
Yudong Cao, Jonathan Romero, Jonathan P. Olson +10
Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century…
Quantum Simulation of Electronic Structure with Linear Depth and Connectivity
Ian D. Kivlichan, Jarrod McClean, Nathan Wiebe +4
As physical implementations of quantum architectures emerge, it is increasingly important to consider the cost of algorithms for practical connectivities between qubits. We show th…
OpenFermion: The Electronic Structure Package for Quantum Computers
Jarrod R. McClean, Kevin J. Sung, Ian D. Kivlichan +32
Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices. However, at present, developing and…
qTorch: The Quantum Tensor Contraction Handler
E. Schuyler Fried, Nicolas P. D. Sawaya, Yudong Cao +3
Classical simulation of quantum computation is necessary for studying the numerical behavior of quantum algorithms, as there does not yet exist a large viable quantum computer on w…
Quantum Information and Computation for Chemistry
Jonathan Olson, Yudong Cao, Jonathan Romero +7
The NSF Workshop in Quantum Information and Computation for Chemistry assembled experts from directly quantum-oriented fields such as algorithms, chemistry, machine learning, optic…
Bounding the costs of quantum simulation of many-body physics in real space
Ian D. Kivlichan, Nathan Wiebe, Ryan Babbush +1
We present a quantum algorithm for simulating the dynamics of a first-quantized Hamiltonian in real space based on the truncated Taylor series algorithm. We avoid the possibility o…
Scalable Quantum Simulation of Molecular Energies
P. J. J. O'Malley, R. Babbush, I. D. Kivlichan +27
We report the first electronic structure calculation performed on a quantum computer without exponentially costly precompilation. We use a programmable array of superconducting qub…
Exponentially More Precise Quantum Simulation of Fermions in the Configuration Interaction Representation
Ryan Babbush, Dominic W. Berry, Yuval R. Sanders +5
We present a quantum algorithm for the simulation of molecular systems that is asymptotically more efficient than all previous algorithms in the literature in terms of the main pro…
Exponentially more precise quantum simulation of fermions I: Quantum chemistry in second quantization
Ryan Babbush, Dominic W. Berry, Ian D. Kivlichan +3
We introduce novel algorithms for the quantum simulation of molecular systems which are asymptotically more efficient than those based on the Trotter-Suzuki decomposition. We prese…