Pulse based Variational Quantum Optimal Control for hybrid quantum
computing
- URL: http://arxiv.org/abs/2202.08908v2
- Date: Tue, 24 Jan 2023 15:37:57 GMT
- Title: Pulse based Variational Quantum Optimal Control for hybrid quantum
computing
- Authors: Robert de Keijzer, Oliver Tse, Servaas Kokkelmans
- Abstract summary: This work studies pulse based variational quantum algorithms (VQAs)
VQAs are designed to determine the ground state of a quantum mechanical system by combining classical and quantum hardware.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This work studies pulse based variational quantum algorithms (VQAs), which
are designed to determine the ground state of a quantum mechanical system by
combining classical and quantum hardware. In contrast to more standard gate
based methods, pulse based methods aim to directly optimize the laser pulses
interacting with the qubits, instead of using some parametrized gate based
circuit. Using the mathematical formalism of optimal control, these laser
pulses are optimized. This method has been used in quantum computing to
optimize pulses for quantum gate implementations, but has only recently been
proposed for full optimization in VQAs. Pulse based methods have several
advantages over gate based methods such as faster state preparation, simpler
implementation and more freedom in moving through the state space. Based on
these ideas, we present the development of a novel adjoint based variational
method. This method can be tailored towards and applied in neutral atom quantum
computers. This method of pulse based variational quantum optimal control is
able to approximate molecular ground states of simple molecules up to chemical
accuracy and is able to compete with the gate based variational quantum
eigensolver in terms of total number of quantum evaluations. The total
evolution time $T$ and the form of the control Hamiltonian $H_c$ are important
factors in the convergence behavior to the ground state energy, both having
influence on the quantum speed limit and the controllability of the system.
Related papers
- Pulse-based variational quantum optimization and metalearning in superconducting circuits [3.770494165043573]
We introduce pulse-based variational quantum optimization (PBVQO) as a hardware-level framework.
We illustrate the framework by optimizing external superconducting on quantum interference devices.
The synergy between PBVQO and meta-learning provides an advantage over conventional gate-based variational algorithms.
arXiv Detail & Related papers (2024-07-17T15:05:36Z) - SpacePulse: Combining Parameterized Pulses and Contextual Subspace for
More Practical VQE [16.890279629884493]
We explore the integration of parameterized quantum pulses with the contextual subspace method.
Working with pulses allows us to potentially access areas of the Hilbert space that are inaccessible with a CNOT-based circuit decomposition.
arXiv Detail & Related papers (2023-11-29T07:55:31Z) - Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction [39.58317527488534]
Energy extraction from quantum sources is a key task to develop new quantum devices such as quantum batteries.
One of the main issues to fully extract energy from the quantum source is the assumption that any unitary operation can be done on the system.
We propose an approach to optimize the extractable energy inspired by the variational quantum eigensolver (VQE) algorithm.
arXiv Detail & Related papers (2023-10-11T15:59:54Z) - Quantum Gate Generation in Two-Level Open Quantum Systems by Coherent
and Incoherent Photons Found with Gradient Search [77.34726150561087]
We consider an environment formed by incoherent photons as a resource for controlling open quantum systems via an incoherent control.
We exploit a coherent control in the Hamiltonian and an incoherent control in the dissipator which induces the time-dependent decoherence rates.
arXiv Detail & Related papers (2023-02-28T07:36:02Z) - PANSATZ: Pulse-based Ansatz for Variational Quantum Algorithms [0.0]
We develop and implement a novel pulse-based ansatz for noisy quantum computers.
We find the ground-state energy associated with the electron configuration problem.
We show that this ansatz has structured adaptivity to the entanglement level required by the problem.
arXiv Detail & Related papers (2022-12-25T14:31:34Z) - A self-consistent field approach for the variational quantum
eigensolver: orbital optimization goes adaptive [52.77024349608834]
We present a self consistent field approach (SCF) within the Adaptive Derivative-Assembled Problem-Assembled Ansatz Variational Eigensolver (ADAPTVQE)
This framework is used for efficient quantum simulations of chemical systems on nearterm quantum computers.
arXiv Detail & Related papers (2022-12-21T23:15:17Z) - Numerical Gate Synthesis for Quantum Heuristics on Bosonic Quantum
Processors [1.195496689595016]
We study the framework in the context of qudits which are controllable electromagnetic modes of a superconducting cavity system.
We showcase control of single-qudit operations up to eight states, and two-qutrit operations, mapped respectively onto a single mode and two modes of the resonator.
arXiv Detail & Related papers (2022-01-19T18:55:13Z) - Quantum algorithms for quantum dynamics: A performance study on the
spin-boson model [68.8204255655161]
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator.
variational quantum algorithms have become an indispensable alternative, enabling small-scale simulations on present-day hardware.
We show that, despite providing a clear reduction of quantum gate cost, the variational method in its current implementation is unlikely to lead to a quantum advantage.
arXiv Detail & Related papers (2021-08-09T18:00:05Z) - Benchmarking adaptive variational quantum eigensolvers [63.277656713454284]
We benchmark the accuracy of VQE and ADAPT-VQE to calculate the electronic ground states and potential energy curves.
We find both methods provide good estimates of the energy and ground state.
gradient-based optimization is more economical and delivers superior performance than analogous simulations carried out with gradient-frees.
arXiv Detail & Related papers (2020-11-02T19:52:04Z) - Electronic structure with direct diagonalization on a D-Wave quantum
annealer [62.997667081978825]
This work implements the general Quantum Annealer Eigensolver (QAE) algorithm to solve the molecular electronic Hamiltonian eigenvalue-eigenvector problem on a D-Wave 2000Q quantum annealer.
We demonstrate the use of D-Wave hardware for obtaining ground and electronically excited states across a variety of small molecular systems.
arXiv Detail & Related papers (2020-09-02T22:46:47Z) - Gate-free state preparation for fast variational quantum eigensolver
simulations: ctrl-VQE [0.0]
VQE is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers.
We propose an alternative algorithm where the quantum circuit used for state preparation is removed entirely and replaced by a quantum control routine.
As with VQE, the objective function optimized is the expectation value of the qubit-mapped molecular Hamiltonian.
arXiv Detail & Related papers (2020-08-10T17:53:09Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.