Benchmarking is how the performance of a computing system is determined. Surprisingly,
even for classical computers this is not a straightforward process. One must choose the …

Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (NISQ)
computers. Previous work for mitigating noise has primarily focused on gate-level or pulse …

Useful fault-tolerant quantum computers require very large numbers of physical qubits.
Quantum computers are often designed as arrays of static qubits executing gates and …

Fast, reliable logical operations are essential for the realization of useful quantum
computers, as they are required to implement practical quantum algorithms at large scale …

Quantum information processing holds great potential for pushing beyond the current
frontiers in computing. Specifically, quantum computation promises to accelerate the solving …

In existing general-purpose architectures for surface-code-based fault-tolerant quantum
computers, the cost of a quantum computation is determined by the circuit volume, ie, the …

Due to the high error rate of a qubit, detecting and correcting errors on it is essential for fault-
tolerant quantum computing (FTQC). Surface code (SC) associated with its decoding …

Demonstrating small error rates by integrating quantum error correction (QEC) into an
architecture of quantum computing is the next milestone towards scalable fault-tolerant …

Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent
years, with the longer-term vision of Fault-Tolerant Quantum Computation (FTQC) offering …

The overheads of classical decoding for quantum error correction in cryogenic quantum
systems grow rapidly with the number of logical qubits and their correction code distance …