Quantum computers promise computational advantages for many important problems
across various application domains. Unfortunately, physical quantum devices are highly …

The error rates of quantum devices are orders of magnitude higher than what is needed to
run most quantum applications. To close this gap, Quantum Error Correction (QEC) encodes …

Near-term quantum computers contain noisy devices, which makes it difficult to infer the
correct answer even if a program is run for thousands of trials. On current machines, qubit …

Computationally expensive applications, including machine learning, chemical simulations,
and financial modeling, are promising candidates for noisy intermediate scale quantum …

Quantum programs are written in high-level languages, whereas quantum hardware can
only execute low-level native gates. To run programs on quantum systems, each high-level …

Codesign has been an integral part of computer architecture since the very first systems
were brought online. From the early days of the field until now, end-user applications …

While quantum computers provide exciting opportunities for information processing, they
currently suffer from noise during computation that is not fully understood. Incomplete noise …

Quantum computing is an information processing paradigm that uses quantum-mechanical
properties to speedup computationally hard problems. Gate-based quantum computers and …

In the quest of large-scale quantum computers, multi-core distributed architectures are
considered a compelling alternative to be explored. A crucial aspect in such approach is the …

Near-term quantum computers are noisy and have limited connectivity between qubits.
Compilers are required to introduce SWAP operations in order to perform two-qubit gates …