Flux Qubits: Superconducting Loops as Quantum Bits
Flux qubits encode information in the direction of current in a superconducting loop. Their principle, noise sources and comparison with others.
Superconducting circuits, trapped ions, photonics, silicon spins and neutral atoms: the physical machines behind the qubit count, and what limits them.
69 articlesFlux qubits encode information in the direction of current in a superconducting loop. Their principle, noise sources and comparison with others.
Single-electron and quantum transistors switch using tunneling and discrete charge. How they work, their applications and challenges.
Why graphene interests quantum device researchers: quantum dots, the quantum Hall effect, interference, spintronics and sensors.
Quantum optomechanics couples light to mechanical motion. Radiation pressure, ground-state cooling, squeezing and uses in sensing.
Spintronics stores and moves information in electron spin rather than charge. Spin manipulation, spin-orbit effects and quantum spin devices.
Quantum nanoelectronics builds devices where quantum effects dominate, including quantum dots, superconducting qubits and spintronic parts.
Integrated quantum photonics puts sources, circuits and detectors for single photons on a chip. Uses in communication, computing and sensing.
Hardware-software co-design tailors quantum algorithms to qubit connectivity and noise, and hardware to algorithms. Strategies and examples.
Quantum control theory designs pulses that drive qubits to target states. Optimal control, feedback and how it improves gate fidelity.
Quantum electromechanical systems couple tiny mechanical resonators to quantum circuits or light. Their physics, experiments and sensing uses.
Quantum control systems steer fragile quantum states with shaped pulses and feedback. Techniques, algorithms and applications in computing.
DQC1 is the one clean qubit model: one pure qubit plus mixed qubits. What it can compute, such as trace estimation, and experiments on it.