Open Quantum Computing Facility
At DQC, we share a vision for establishing an open academic laboratory for both doing and using quantum information science and engineering. At the heart of this is will be Scalable Quantum Computing Facility that offers programmable, reconfigurable quantum computing capability to engineers, physicists, chemists, mathematicians or anyone else with a complex optimization problem that may benefit from a quantum approach. Whether it’s modeling particle physics phenomena or optimizing models of the stock market, we’re willing to try it. Users will be able to access a stable quantum computer tailored to their research problems, with open access to its guts, in a collaborative atmosphere. This builds upon our NSF program STAQ (staq.duke.edu) and the recently awarded QACTI (qacti.quantum.duke.edu).
Our faculty are leaders in designing and building quantum information processors and quantum science laboratories. We take a cross-disciplinary approach that draws on the expertise of many experimental and theoretical faculty, including physicists, engineers, computer scientists, mathematicians, chemists, and more. Our collaborations extend beyond Duke to other universities, government labs, and the private sector.
By putting our research-grade technology in the hands of researchers across science and engineering we’re figuring out how to improve quantum computing and the broader domain of quantum information science and engineering.
Quantum Hardware @ DqC
Currently, DQC faculty use two different, but related hardware platforms to build quantum devices: Ion Traps and Neutral Atoms. Both have proven to be robust for quantum simulation, computing, and sensing, and do not suffer from defects that often affect fabricated quantum circuit technology. They both rely on laser control and the entire system can fit on a single table. We can even run them remotely when needed. DQC started with ion trapping and we are excited to welcome new faculty with expertise in neutral atoms.
For this reason, we expect the ion trap systems to become available to users first.
Quantum Information Research Domains
Faculty at DQC are engaged in research across many sub-fields of quantum information science and engineering. Below are examples spanning engineering, computer science, physics, and mathematics.
Quantum error Correction
Scalable Quantum Computing
Molecular systems and atomic physics
quantum sensing
Quantum Simulation
Many Body Physics
Quantum Engineering
High Energy Physics
Quantum Algorithms