Frederic T. Chong

$O(N^3)$ Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians

2020 · IEEE Transactions on Quantum Engineering

Variational quantum eigensolver (VQE) is a promising algorithm for near-term quantum machines. It can be used to estimate the ground state energy of a molecule by performing separate measurements of O(N4) terms. This quartic scaling …

Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment

2021

In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and apply such a hybrid quantum-classical algorithm to a power system optimization problem …

Adaptive job and resource management for the growing quantum cloud

2022 · arXiv (Cornell University)

As the popularity of quantum computing continues to grow, efficient quantum machine access over the cloud is critical to both academic and industry researchers across the globe. And as cloud quantum computing demands increase exponentially, …

NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms

2022 · arXiv (Cornell University)

Variational quantum algorithms (VQAs) have demonstrated great potentials in the Noisy Intermediate Scale Quantum (NISQ) era. In the workflow of VQA, the parameters of ansatz are iteratively updated to approximate the desired quantum states. We …

Navigating the dynamic noise landscape of variational quantum algorithms with QISMET

2022 · arXiv (Cornell University)

Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detrimental to classes of applications that are iterative and/or long-running, and therefore their timely mitigation is important for quantum advantage …

CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms

2022

Classical computing plays a critical role in the advancement of quantum frontiers in the NISQ era. In this spirit, this work uses classical simulation to bootstrap Variational Quantum Algorithms (VQAs). VQAs rely upon the iterative …

Demonstration of a CAFQA-bootstrapped Variational Quantum Eigensolver on a Trapped-Ion Quantum Computer

2024 · arXiv (Cornell University)

To enhance the variational quantum eigensolver (VQE), the CAFQA method can utilize classical computational capabilities to identify a better initial state than the Hartree-Fock method. Previous research has demonstrated that the initial state provided by …