Quantum engineering is an emerging field that fuses physics, engineering and computer science. It incorporates radical new ideas for computing, materials, devices and sensors. Our Quantum Engineering and Computing team is developing this next generation technology, and exploring new ways to apply it to computing, sensing, and communication.

Quantum Computing


Scientists in our cryogenics laboratory are studying qubit systems based on superconducting-circuits. These systems are cooled to milli-Kelvin temperatures and controlled with fast microwave electronics.

To meet the demands for complex experiments, we have developed custom microwave hardware called the arbitrary pulse sequencer, or APS, to control a large number of qubits with complex gate sequences. We have also developed a low-latency feedback system with a field-programmable gate array for determining the state of our quantum circuit – a key capability for implementing error correction.


As current quantum devices grow in size, existing techniques to diagnose error and characterize operations become impractical. We are developing novel approaches to verification and characterization of quantum devices that can be practically applied to present day devices, and those expected in the near future. These developments include approximate approaches to characterization, and system-wide benchmarks.


Our work in quantum algorithms spans two key areas:

  • Quantum walk algorithms, which are useful for optimization problems
  • Quantum algorithms for the physics simulation such as plasma dynamics and other high energy physics models


A network board with cables attached.

Our team develops hardware, gateware and software for dynamic quantum information processing experiments with superconducting qubits. In dynamic experiments, qubit state information is used to change the implemented control sequence in real-time.

Classical Cryogenic Computing


Picture of a schematic of a microchip.

To build a superconducting quantum computing system, qubits, as well as surrounding classical electronics, must be scalable. We have reported on a key supporting classical technology for microwave controlled superconducting qubits that would enable scaling of a quantum computer beyond impending I/O heat load and bandwidth bottlenecks. And we are exploring applications of scalable cryogenic technologies for qubit systems that include cryogenic digital logic, such as SFQ technology and superconducting microwave components.

High-Speed, Low-Power Memory For Cryo-Computing

Different pictures of memory boards close-up.

We are exploring low-power memory technologies, including the integration of superconducting circuits with spintronics. Spintronics systems include spin orbit transfer ferromagnetic memory, which can operate at superconducting circuit temperatures while providing fast, high-density, low-power random access memory located near cryogenic processors.