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Quantum Control Optimization Methods

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-SC0020618
Agency Tracking Number: 0000257215
Amount: $1,600,000.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: 08c
Solicitation Number: DE-FOA-0002380
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-05-03
Award End Date (Contract End Date): 2023-05-02
Small Business Information
1261 Oakmead Pkwy
Sunnyvale, CA 94085-4040
United States
DUNS: 621683200
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Kosut
 (408) 617-4527
Business Contact
 John Denham
Phone: (408) 617-4545
Research Institution
 Princeton University
87 Prospect Avenue
Princeton, NJ 08544
United States

 Nonprofit College or University

Quantum computers being fabricated today, often referred to as noisy intermediate-scale quantum (NISQ) devices, have seen an increase in the number of qubits employed and an associated improvement in capabilities. Since the qubits are rapidly randomized by noise from the environment and thus lose coherence, NISQ devices are inherently susceptible to generating errors during computation. These devices operate under open-loop control without the benefit of error correction that is critical for their reliable operation. To meet this challenge, it is imperative to employ the best control design resources to assure that gate operations are performed at the highest fidelity while simultaneously being robust to inevitable uncertainties in device fabrication as well as noise from various sources. To this end, we are developing an integrated software product for control, characterization, calibration and optimization of quantum computers to address the above-mentioned fragility. The proposed STTR program will draw from the vast library of quantum control algorithms and software for control optimization and characterization developed at Princeton University and SC Solutions, Inc. (SC) in order to create an integrated set of software tools to meet the dual objectives of (a) computational design of reliable control and calibration for NISQ devices, and (b) guiding their fabrication and implementation. In Phase I, the SC-Princeton team has established the feasibility of developing a fully functional software framework which would allow the quantum researcher to perform software-guided control, calibration, optimization, and characterization in simulation and on quantum hardware. Through extensive interviews with potential customers from industry and university research laboratories, the team identified their needs to guide our software requirements. We have designed the software framework to be modular in order to enhance flexibility and increase the utility of the tools. Several representative algorithms for robust control optimization, calibration, and characterization have demonstrated the use of some common protocols defining only a few of the possible pathways to achieve the performance goals. The aim of the Phase II effort is to develop the software product prototype which can be interfaced with various NISQ systems. This software will accelerate the achievement of optimal performance while drawing upon the best features of the computational control design and experimental implementation in a real-time iterative fashion.The software toolset will consider the particular characteristics of each device, including the presence of often unknown error sources. The commercial product resulting from the Phase II effort will integrate the control, optimization, calibration, and characterization software tools into modules that will seamlessly interconnect and have a user-friendly interface. The software may be used for both off-line simulations and in experimental applications in a synergistic fashion. It will relieve quantum hardware developers from the burden of designing and implementing their own in-house quantum control and optimization software. Thus, operating in this fashion should accelerate the development of practical quantum computing.

* Information listed above is at the time of submission. *

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