Scaling quantum computing with dynamic circuits

  1. Almudena Carrera Vazquez,
  2. Caroline Tornow,
  3. Diego Riste,
  4. Stefan Woerner,
  5. Maika Takita,
  6. and Daniel J. Egger
Quantum computers process information with the laws of quantum mechanics. Current quantum hardware is noisy, can only store information for a short time, and is limited to a few quantum

Trade off-Free Entanglement Stabilization in a Superconducting Qutrit-Qubit System

  1. Tristan Brown,
  2. Emery Doucet,
  3. Diego Ristè,
  4. Guilhem Ribeill,
  5. Katarina Cicak,
  6. Joe Aumentado,
  7. Ray Simmonds,
  8. Luke Govia,
  9. Archana Kamal,
  10. and Leonardo Ranzani
Quantum reservoir engineering is a powerful framework for autonomous quantum state preparation and error correction. However, traditional approaches to reservoir engineering are hindered

Deep Neural Network Discrimination of Multiplexed Superconducting Qubit States

  1. Benjamin Lienhard,
  2. Antti Vepsäläinen,
  3. Luke C.G. Govia,
  4. Cole R. Hoffer,
  5. Jack Y. Qiu,
  6. Diego Ristè,
  7. Matthew Ware,
  8. David Kim,
  9. Roni Winik,
  10. Alexander Melville,
  11. Bethany Niedzielski,
  12. Jonilyn Yoder,
  13. Guilhem J. Ribeill,
  14. Thomas A. Ohki,
  15. Hari K. Krovi,
  16. Terry P. Orlando,
  17. Simon Gustavsson,
  18. and William D. Oliver
Demonstrating the quantum computational advantage will require high-fidelity control and readout of multi-qubit systems. As system size increases, multiplexed qubit readout becomes

High-Fidelity Control of Superconducting Qubits Using Direct Microwave Synthesis in Higher Nyquist Zones

  1. William D. Kalfus,
  2. Diana F. Lee,
  3. Guilhem J. Ribeill,
  4. Spencer D. Fallek,
  5. Andrew Wagner,
  6. Brian Donovan,
  7. Diego Ristè,
  8. and Thomas A. Ohki
Control electronics for superconducting quantum processors have strict requirements for accurate command of the sensitive quantum states of their qubits. Hinging on the purity of ultra-phase-stable

Experimental demonstration of Pauli-frame randomization on a superconducting qubit

  1. Matthew Ware,
  2. Guilhem Ribeill,
  3. Diego Riste,
  4. Colm A. Ryan,
  5. Blake Johnson,
  6. and Marcus P. da Silva
The realization of quantum computing’s promise despite noisy imperfect qubits relies, at its core, on the ability to scale cheaply through error correction and fault-tolerance.

Hardware for Dynamic Quantum Computing

  1. Colm A. Ryan,
  2. Blake R. Johnson,
  3. Diego Ristè,
  4. Brian Donovan,
  5. and Thomas A. Ohki
We describe the hardware, gateware, and software developed at Raytheon BBN Technologies for dynamic quantum information processing experiments on superconducting qubits. In dynamic