Quantum computers: can they be made 'large'?

T.O. Frolova

Simon J. Devitt, Ashley M. Stephens, William J. Munro +1 more

We detail how resource estimates should be made for large scale, error corrected computation. We detail the series of steps needed when compiling algorithms and illustrate how to estimate the qubit/time requirements of any computation.

Nicolas C. Menicucci

One of the biggest challenges to a viable quantum computer with real-world impact is scaling it up to handle large computations. Continuous-variable (CV) cluster states, which are resource states for measurement-based quantum computation, can be made on a vast scale with minimal experimental resources. I will present recent experimental breakthroughs in producing large-scale CV cluster states, and I will illustrate how to use these states for fault-tolerant quantum computation.

Jack D. Hidary

Scott Aaronson

David P. Franke, James S. Clarke, Lieven M. K. Vandersypen +1 more

Quantum computing is on the verge of a transition from fundamental research to practical applications. Yet, to make the step to large-scale quantum computation, an extensible qubit system has to be developed. In classical semiconductor technology, this was made possible by the invention of the integrated circuit, which allowed to interconnect large numbers of components without having to solder to each and every one of them. Similarly, we expect that the scaling of interconnections and control lines with the number of qubits will be a central bottleneck in creating large-scale quantum technology. Here, we define the quantum Rent's exponent $p$ to quantify the progress in overcoming this challenge at different levels throughout the quantum computing stack. We further discuss the concept of quantum extensibility as an indicator of a platform's potential to reach the large quantum volume needed for universal quantum computing and review extensibility limits faced by different qubit implementations on the way towards truly large-scale qubit systems.