ArticleScientific reports2014
Adiabatic quantum simulation of quantum chemistry.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Digital adiabatic evolution is universally accurate.Nature communications · 2026Article
- Surrogate optimization of variational quantum circuits.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- How to experimentally evaluate the adiabatic condition for quantum annealing.Scientific reports · 2024Article
- Highly reconfigurable oscillator-based Ising Machine through quasiperiodic modulation of coupling strength.Scientific reports · 2023Article
- Quantum Multi-Round Resonant Transition Algorithm.Entropy (Basel, Switzerland) · 2022Article
- Electronic Quantum Materials Simulated with Artificial Model Lattices.ACS nanoscience Au · 2022Review
- Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization.Scientific reports · 2022Article
- Electronic structure with direct diagonalization on a D-wave quantum annealer.Scientific reports · 2020Article
- A quantum algorithm for evolving open quantum dynamics on quantum computing devices.Scientific reports · 2020Article
- A Full Quantum Eigensolver for Quantum Chemistry Simulations.Research (Washington, D.C.) · 2020Article
- Quantum Chemistry on Quantum Computers: A Method for Preparation of Multiconfigurational Wave Functions on Quantum Computers without Performing Post-Hartree-Fock Calculations.ACS central science · 2019Article
- Quantum machine learning for electronic structure calculations.Nature communications · 2018Article
- Article
- Quantum annealing with all-to-all connected nonlinear oscillators.Nature communications · 2017Article
- Quantum chemistry and charge transport in biomolecules with superconducting circuits.Scientific reports · 2016Article
- Article
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3 authors.
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Abstract
We show how to apply the quantum adiabatic algorithm directly to the quantum computation of molecular properties. We describe a procedure to map electronic structure Hamiltonians to 2-body qubit Hamiltonians with a small set of physically realizable couplings. By combining the Bravyi-Kitaev construction to map fermions to qubits with perturbative gadgets to reduce the Hamiltonian to 2-body, we obtain precision requirements on the coupling strengths and a number of ancilla qubits that scale polynomially in the problem size. Hence our mapping is efficient. The required set of controllable interactions includes only two types of interaction beyond the Ising interactions required to apply the quantum adiabatic algorithm to combinatorial optimization problems. Our mapping may also be of interest to chemists directly as it defines a dictionary from electronic structure to spin Hamiltonians with physical interactions.
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