Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …
and industries including computational science, mathematics, finance, pharmaceutical …
Quantum circuit synthesis and compilation optimization: Overview and prospects
A synthesis framework for stitching surface code with superconducting quantum devices
Quantum error correction (QEC) is the central building block of fault-tolerant quantum
computation but the design of QEC codes may not always match the underlying hardware …
computation but the design of QEC codes may not always match the underlying hardware …
Orchestrated trios: compiling for efficient communication in quantum programs with 3-qubit gates
Current quantum computers are especially error prone and require high levels of
optimization to reduce operation counts and maximize the probability the compiled program …
optimization to reduce operation counts and maximize the probability the compiled program …
Design of quantum optical experiments with logic artificial intelligence
Abstract Logic Artificial Intelligence (AI) is a subfield of AI where variables can take two
defined arguments, True or False, and are arranged in clauses that follow the rules of formal …
defined arguments, True or False, and are arranged in clauses that follow the rules of formal …
Multi-programming mechanism on near-term quantum computing
As near-term quantum hardware has several physical limitations and unavoidable noisy
quantum operations, only small circuits with shallow depths can be executed with reliable …
quantum operations, only small circuits with shallow depths can be executed with reliable …
Faster and more reliable quantum swaps via native gates
Due to the sparse connectivity of superconducting quantum computers, qubit communication
via SWAP gates accounts for the vast majority of overhead in quantum programs. We …
via SWAP gates accounts for the vast majority of overhead in quantum programs. We …
Qurzon: A prototype for a divide and conquer-based quantum compiler for distributed quantum systems
When working with algorithms on quantum devices, quantum memory becomes a crucial
bottleneck due to low qubit count in NISQ-era devices. In this context, the concept of 'divide …
bottleneck due to low qubit count in NISQ-era devices. In this context, the concept of 'divide …