Synthesis of Compact and Expressive Quantum-Circuit Optimizations
arXiv 2609.01762•982f803d343d2116cfcbe4129b06f274417f9dc46f2a11af315ef1aa8a5e1222
Intel SGXLLVMMLIRTEEacademic researchcausal inferencecompiler optimizationdeep learninghigher-order quantum programminginformation-flow securitymemory safetyprobabilistic programmingprogramming languagesquantum compilerquantum computingtrusted execution environmentstype systems
Paper metadata
- arXiv ID
- 2609.01762
- Version
- Not specified by this published record
- Category
- Computer Science — Programming Languages (cs.PL)
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Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- 982f803d343d2116cfcbe4129b06f274417f9dc46f2a11af315ef1aa8a5e1222
- Enrichment time
- 2026-09-03T08:51:56Z
- AI-assisted enrichment
- Yes
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