TeleSABRE extends SABRE to combine intra-core SWAPs with inter-core teleportation, reporting a 28% reduction in inter-core operations on benchmarks for multi-core quantum architectures.
Quantum computing in the nisq era and beyond
4 Pith papers cite this work. Polarity classification is still indexing.
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ZAP presents a zoned architecture and single-pass compiler for field-programmable atom arrays that delivers over 1000x faster compilation than prior tools while preserving or improving circuit fidelity on structured and random benchmarks.
Classical data noise significantly amplifies the accuracy drop caused by quantum decoherence in a variational quantum classifier.
AI techniques including deep learning, reinforcement learning, and federated learning are positioned to enable high data rates, low latency, and massive connectivity in 6G networks while addressing scalability, security, and energy challenges.
citing papers explorer
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TeleSABRE: Layout Synthesis in Multi-Core Quantum Systems with Teleport Interconnect
TeleSABRE extends SABRE to combine intra-core SWAPs with inter-core teleportation, reporting a 28% reduction in inter-core operations on benchmarks for multi-core quantum architectures.
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ZAP: Zoned Architecture and Performant Compiler for Field Programmable Atom Array
ZAP presents a zoned architecture and single-pass compiler for field-programmable atom arrays that delivers over 1000x faster compilation than prior tools while preserving or improving circuit fidelity on structured and random benchmarks.
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A Systematic Study of Noise Effects in Hybrid Quantum-Classical Machine Learning
Classical data noise significantly amplifies the accuracy drop caused by quantum decoherence in a variational quantum classifier.
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A Survey on AI for 6G: Challenges and Opportunities
AI techniques including deep learning, reinforcement learning, and federated learning are positioned to enable high data rates, low latency, and massive connectivity in 6G networks while addressing scalability, security, and energy challenges.