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Quantum Computing: Lecture Notes

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arxiv 1907.09415 v5 pith:TXES7KDI submitted 2019-07-19 quant-ph cs.CCcs.DScs.ET

classification quant-phcs.CCcs.DScs.ET
keywords quantumchapterschaptercomputerfirstlecturenotesscience
verification ladder T0 review T1 audit T2 compute T3 formal
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This is a set of lecture notes suitable for a Master's course on quantum computation and information from the perspective of theoretical computer science. The first version was written in 2011, with many extensions and improvements in subsequent years. The first 10 chapters cover the circuit model and the main quantum algorithms (Deutsch-Jozsa, Simon, Shor, Hidden Subgroup Problem, Grover, quantum walks, Hamiltonian simulation and HHL). They are followed by 4 chapters about complexity, 4 chapters about distributed ("Alice and Bob") settings, a chapter about quantum machine learning, and a final chapter about quantum error correction. Appendices A and B give a brief introduction to the required linear algebra and some other mathematical and computer science background. All chapters come with exercises, with some hints provided in Appendix C.

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Cited by 10 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Multi-Prover Interactive Proof Systems with Leakage

    quant-ph 2026-05 unverdicted novelty 8.0 of 10

    Two-prover one-round MIP protocols for NEXP and MIP* protocols for RE remain sound against any polynomial bits of leakage between provers.

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    StoqMA(2) contains NP with Õ(√n)-qubit proofs and completeness error 2^{-polylog(n)}, is contained in EXP, and satisfies StoqMA(k)=StoqMA(2) for k≥2 when completeness error is negligible.

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  4. An Initialization-free Quantum Algorithm for General Abelian Hidden Subgroup Problem

    quant-ph 2025-07 accept novelty 6.0 of 10

    An initialization-free quantum algorithm solves the hidden subgroup problem over all finite abelian groups, reusing an arbitrary mixed auxiliary state and restoring it, with O(log|G|) queries and O(log^3|G|) operations.

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  10. Hybrid Quantum Neural Networks: Theory, Implementations, and Applications

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