General Lab Information

Working toward quantum advantage in computations for high-energy and nuclear physics, chemistry, materials science, condensed matter physics, and other fields.

National Quantum Information Science (QIS) Research Centers funded by the U.S. Department of Energy Office of Science are accelerating transformational advances in basic science and quantum-based technologies needed to assure continued U.S. leadership in QIS. Led by Brookhaven National Laboratory, the Co-design Center for Quantum Advantage is building the tools necessary to create scalable, distributed, and fault-tolerant quantum computer systems.

photos of quantum devices

Left to right: heptagon-kagome device; IBM 27-qubit chip; photoluminescence with above-bandgap excitation in layered diamond; and interior of IBM quantum computing system. Credits: (1) Houck, Princeton; (2), (4) IBM; (3) de Leon & Lyon groups, Princeton.

Quantum advantage: when a quantum computer outperforms a classical computer

Quantum computers have the potential to solve scientific and other kinds of problems that would be practically impossible for traditional supercomputers. However, the current generation—called noisy intermediate-scale quantum—suffers from a high error rate because of noise, faults, and loss of quantum coherence. Quantum bits (qubits), the information-storing elements of quantum computers, are very delicate. Vibrations, temperature changes, electromagnetic waves, and other interactions between qubits and the environment or material defects in qubits can cause quantum decoherence. In quantum decoherence, the qubits lose their information, and the calculation cannot be completed.

Through materials, devices, and software co-design efforts, our team will understand and control material properties to extend coherence time, design devices to generate more robust qubits, optimize algorithms to target specific scientific applications, and develop error-correction solutions. To achieve these goals, we will leverage materials characterization facilities at Brookhaven’s Center for Functional Nanomaterials (CFN) and National Synchrotron Light Source II (NSLS-II), device design and fabrication capabilities in industry and academia, and IBM’s Qiskit open-source framework for writing quantum programs and its Quantum Prime prototype quantum computer.

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Technical capabilities and facilities for creating scalable, distributed, and fault-tolerant quantum computer systems.

Brookhaven National Laboratory’s National Synchrotron Light Source II (NSLS-II) and Center for Functional Nanomaterials (CFN) provide materials science expertise in conjunction with a comprehensive suite of materials characterization capabilities. These capabilities include synchrotron beamlines with the world’s highest energy and spatial resolution and scanning probe microscopes and aberration-corrected transmission electron microscopes with high nanoscale resolution.

Pacific Northwest National Laboratory’s Environmental Molecular Science Laboratory (EMSL) is equipped with state-of-the-art imaging capabilities, and its Shallow Underground Laboratory offers a unique low-background facility for environmental testing and production of materials and devices.

IBM Quantum Prime provides quantum computing prototyping, integration, testing and benchmarking tools.

C2QA 2022 Impact by the Numbers

265 people working on more than 100 projects to advance quantum computing
25 institutions frmo national labs, inductry, and academia
88 principal investigators
3 technical areas and 1 cross-cutting team focused on software and applications, devices, and materials co-design
18 published papers and 48 preprints
2 inventions
18 Quantum Thursday lectures introducing undergraduate students to quantum information science
More than 300 attendees, 24 exhibitors who participated in QIS career fair
2 summer school course offerings for high school and undergraduate students
1 of 5 U.S> department of energy national QIS centers working to solve quantum computing challenges

The Co-design Center for Quantum Advantage Team

Ames Laboratory


City College of New York

Columbia University

Harvard University

Howard University

Jefferson Lab

Johns Hopkins University

Montana State University

NASA Ames Research Center

Northwestern University

SUNY Polytechnic Institute

University of California-Santa Barbara

University of Illinois Chicago

University of Massachusetts-Amherst

University of Pittsburgh

University of Washington

Virginia Tech