Optimization, Verification, and Engineered Reliability of Quantum Computers

Optimization, Verification, and Engineered Reliability of Quantum Computers (OVER-QC) is a multi-institution research project funded by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under the Quantum Computing Application Teams program. Learn more about OVER-QC.

Latest Results and News

  • Machine-learning Kohn-Sham potential from dynamics in time-dependent Kohn-Sham systems

    Machine learning can help make better approximation to Kohn-Sham potential. In this work, we present the first demonstration of using machine learning to investigate Kohn-Sham potential from the evolution of system’s density without resorting to the exact Kohn-Sham potential. Hamilton’s equations in Kohn-Sham system was developed under adiabatic approximation. Based on the equations, a neural […]

  • Digital adiabatic state preparation error scales better than you might expect

    Preparation of many-body states is an important task for applications such as quantum simulation and quantum sensing, and digitized adiabatic evolution (DAE) is the most common and practical way to achieve this task on a quantum computer. We derive and numerically demonstrate improved error bounds for state preparation via DAE. These new bounds explain several […]

  • The battle of clean and dirty qubits in the era of partial error correction

    When error correction becomes possible it will be necessary to dedicate a large number of physical qubits to each logical qubit. Error correction allows for deeper circuits to be run, but each additional physical qubit can potentially contribute an exponential increase in computational space, so there is a trade-off between using qubits for error correction […]