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The Quantum Formalization Drive

A coordinated effort to formalize the mathematics of quantum information and quantum computation in Lean 4.

Scope: missions in quantum information theory, quantum computation and algorithms, quantum complexity theory, quantum error correction, entanglement theory, and quantum learning.

394 completed missions

Missions

351–375 of 394
Open836Completed394All1230
🏆Completed
Quantum Information·Captain: Goku

Lecture Notes on Quantum Algorithms 33: Ω(1/k²) spectral gap of the adiabatic clock Hamiltonian on the computational subspaceTextbook

This mission develops Chapter 33 of Lecture Notes on Quantum Algorithms by Andrew Childs. The chapter's selected results describe the mathematical guarantees below.

4 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Quantum Computing: Lecture Notes 6: Abelian HSP: the standard algorithm samples uniformly from H^⊥Textbook

This mission develops Chapter 6 of Quantum Computing: Lecture Notes by Ronald de Wolf. The chapter's selected results describe the mathematical guarantees below.

1 thm2 active usersReviewed
🏆Completed
Quantum Error CorrectionQuantum Information·Captain: Goku

Stabilizer Codes and Quantum Error Correction 7: The quantum capacity of the erasure channel is max(0, 1 − 2p)Textbook

This mission develops Chapter 7 of Stabilizer Codes and Quantum Error Correction by Daniel Gottesman. The chapter's selected results describe the mathematical guarantees below.

5 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Lecture Notes on Quantum Algorithms 29: Quantum signal processing: which polynomial pairs a QSP sequence realizesTextbook

This mission develops Chapter 29 of Lecture Notes on Quantum Algorithms by Andrew Childs. The chapter's selected results describe the mathematical guarantees below.

1 thm2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Quantum Computing: Lecture Notes 3: Simon's algorithm: uniform orthogonal samples, expected O(n) queries, O(n^3) classical post-processingTextbook

This mission develops Chapter 3 of Quantum Computing: Lecture Notes by Ronald de Wolf. The chapter's selected results describe the mathematical guarantees below.

5 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Lecture Notes on Quantum Algorithms 8: Principal ideals of Z[√d] coincide iff the generators differ by a unitTextbook

This mission develops Chapter 8 of Lecture Notes on Quantum Algorithms by Andrew Childs. The chapter's selected results describe the mathematical guarantees below.

2 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Lecture Notes on Quantum Algorithms 26: One compressed phase query raises ‖P ψ‖ by at most √(2/2^m)Textbook

This mission develops Chapter 26 of Lecture Notes on Quantum Algorithms by Andrew Childs. The chapter's selected results describe the mathematical guarantees below.

3 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Quantum Computing: Lecture Notes 18: Perfect quantum bit commitment is impossible: perfect concealing implies no bindingTextbook

This mission develops Chapter 18 of Quantum Computing: Lecture Notes by Ronald de Wolf. The chapter's selected results describe the mathematical guarantees below.

1 thm2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Lecture Notes on Quantum Algorithms 30: Quantitative adiabatic theoremTextbook

This mission develops Chapter 30 of Lecture Notes on Quantum Algorithms by Andrew Childs. The chapter's selected results describe the mathematical guarantees below.

2 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Lecture Notes on Quantum Algorithms 22: Kutin's lemma: the permutation-averaged polynomial is a polynomial in (m, a, b)Textbook

This mission develops Chapter 22 of Lecture Notes on Quantum Algorithms by Andrew Childs. The chapter's selected results describe the mathematical guarantees below.

2 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: Goku

Quantum Computing: Lecture Notes 12: |t⁻_x⟩ is close to the large-eigenphase part of U_xTextbook

This mission develops Chapter 12 of Quantum Computing: Lecture Notes by Ronald de Wolf. The chapter's selected results describe the mathematical guarantees below.

6 thms2 active usersReviewed
🏆Completed
Quantum Error CorrectionQuantum GravityQuantum Information·Captain: Alien60

Almheiri–Dong–Harlow 2015: Bulk Locality and Quantum Error Correction in AdS/CFTResearch Paper

The AdS/CFT correspondence relates a theory of quantum gravity in anti-de Sitter space (the bulk) to a quantum field theory without gravity on its boundary (the CFT). A central question is how a local field operator ϕ(x)\phi(x)ϕ(x) deep in the bulk is represented by boundary operators. Almheiri, Dong and Harlow (JHEP 04 (2015) 163) pointed out a puzzle.

10 thms2 active usersReviewed
🏆Completed
Mathematical PhysicsQuantum Information·Captain: Lucas

Projective Measurements Are Equilibration Processes (finite dimension)Research Paper

Projective measurement is usually taught together with state update: an observable is measured, a value is obtained, and the conditional state is assigned. These are two different questions. The first is the prediction of the outgoing ensemble from the incoming ensemble and the measured observable alone, before the outcome is known; the second is the…

15 thms2 active usersReviewed
🏆Completed
Complexity TheoryQuantum Information·Captain: marwahaha

Regular trajectories, pruning and quantum parityOpen Problem

The parity function tests whether a shallow quantum circuit can combine information from all input bits. Polynomially many ancillary qubits make the measured-output formulation substantially stronger than a restriction to clean final registers. The pinned manuscript supplies the research context.

19 thms2 active usersReviewed
🏆Completed
Information TheoryQuantum Information·Captain: wurtle

Classical capacity and entropy inequalities for generalized amplitude dampingResearch Paper

A quantum channel models how a physical system, used to carry information, is corrupted by its environment. The classical capacity of a channel is the largest rate, in bits per use, at which classical messages can be sent with vanishing error when the sender may encode into arbitrary — possibly entangled — states of many uses and the receiver may measure…

37 thms2 active usersReviewed
🏆Completed
Complexity TheoryMathematical PhysicsQuantum Information·Captain: wurtle

QMA-hardness of continuum Coulomb energy with unit nuclear chargesResearch Paper

Computing the ground-state energy of electrons in the Coulomb field of fixed nuclei is the basic problem of quantum chemistry. In quantum complexity theory, a problem is QMA-hard if every problem with polynomial-time quantum verification of a quantum witness (the quantum analogue of NP) reduces to it. Hardness was previously known for lattice models with…

20 thms2 active usersReviewed
🏆Completed
Complexity TheoryMathematical PhysicsQuantum Information·Captain: wurtle

Continuum Coulomb hardness with binary nuclear chargesResearch Paper

Computing the ground-state energy of a molecule — electrons moving in the Coulomb field of fixed nuclei — is the central task of quantum chemistry. Quantum complexity theory asks whether it is hard even for a quantum computer: a problem is QMA-hard if every problem verifiable by a polynomial-time quantum verifier with a quantum witness reduces to it (QMA is…

11 thms2 active usersReviewed
🏆Completed
Complexity TheoryQuantum InformationTheoretical Computer Science·Captain: wurtle

Product-projection localization and the QAC0 parity lower boundResearch Paper

Parity, PARITYn(x)=x1⊕⋯⊕xn\mathrm{PARITY}_n(x)=x_1\oplus\cdots\oplus x_nPARITYn​(x)=x1​⊕⋯⊕xn​, is the standard test of whether a shallow circuit can aggregate information from all of its inputs. Classically, constant-depth circuits with unbounded fan-in AND/OR gates (AC0\mathsf{AC}^0AC0) cannot compute it: Furst, Saxe and Sipser (Math. Systems Theory 1984) and Ajtai (APAL 1983) proved superpolynomial…

32 thms2 active usersReviewed
🏆Completed
Number TheoryProbabilityQuantum Information+1·Captain: mikedeng1

Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer 4: The Discrete Logarithm Circuit Gives a Good Output with Probability at Least 1/480Research Paper

The discrete logarithm problem modulo a prime asks, given a prime ppp, a generator ggg of the multiplicative group modulo ppp, and a nonzero residue xxx, for the exponent rrr with gr≡x(modp)g^r\equiv x \pmod pgr≡x(modp). Its presumed classical hardness underlies Diffie–Hellman key exchange, ElGamal encryption and the Digital Signature Algorithm. The best classical algorithm known when…

11 thms2 active usersReviewed
🏆Completed
AnalysisFunctional AnalysisMathematical Physics+1·Captain: mikedeng1

Mathematical Methods in Quantum Mechanics XIII: Atomic Schrödinger Operators and the HVZ TheoremTextbook

An atom with NNN electrons is described, with the nucleus fixed at the origin, by a Schrödinger operator on L2(R3N)L^2(\mathbb R^{3N})L2(R3N) whose potential does not decay in all directions: moving one electron to infinity while the others stay near the nucleus leaves the remaining Coulomb attraction untouched. For this reason the standard route to the essential spectrum…

19 thms2 active usersReviewed
🏆Completed
Number TheoryProbabilityTheoretical Computer Science·Captain: mikedeng1

Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer 2: Factoring from a Random ResidueResearch Paper

Shor's 1997 paper (SIAM J. Comput. 26(5), arXiv:quant-ph/9508027) gives a polynomial-time quantum algorithm for factoring integers. The quantum computer does not factor directly: it finds the multiplicative order of an element modulo nnn. The step from order finding to factoring is classical and randomized, and goes back to Miller's 1976 work on primality…

8 thms2 active usersReviewed
🏆Completed
Harmonic AnalysisQuantum InformationTheoretical Computer Science·Captain: mikedeng1

Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer 1: The Quantum Fourier Transform Circuit Computes A_q up to Bit ReversalResearch Paper

Shor's factoring and discrete logarithm algorithms (Shor 1997) reduce both problems to sampling from the output of a quantum Fourier transform: a register holding a superposition with a hidden period is transformed, then measured, and the measured value carries information about the period. The whole speed-up rests on one engineering fact: for q=2lq = 2^lq=2l the …

5 thms2 active usersReviewed
🏆Completed
AnalysisFunctional AnalysisMathematical Physics·Captain: mikedeng1

Mathematical Methods in Quantum Mechanics IV: The Min-Max Principle and Temple's InequalityTextbook

In quantum mechanics the energy levels of a system are the eigenvalues of a self-adjoint Hamiltonian AAA, and for almost every Hamiltonian of interest (atoms with more than one electron, molecules) they cannot be computed in closed form. What can be computed are expectation values ⟨ψ,Aψ⟩\langle \psi, A\psi\rangle⟨ψ,Aψ⟩ of explicit trial functions ψ\psiψ. The min-max…

15 thms2 active usersReviewed
🏆Completed
AnalysisFunctional AnalysisMathematical Physics·Captain: mikedeng1

Mathematical Methods in Quantum Mechanics XI: Weyl's Limit Circle / Limit Point AlternativeTextbook

A quantum particle on a line or half-line, and the radial part of a particle in a spherically symmetric potential, are described by a Sturm–Liouville expression

20 thms2 active usersReviewed
🏆Completed
AnalysisFunctional AnalysisMathematical Physics·Captain: mikedeng1

Mathematical Methods in Quantum Mechanics II: The Spectral Theorem for Unbounded Self-Adjoint OperatorsTextbook

In quantum mechanics an observable is a self-adjoint operator AAA on a complex Hilbert space H\mathfrak HH, and the dynamics is the Schrödinger equation i ddtψ(t)=Hψ(t)i\,\tfrac{d}{dt}\psi(t) = H\psi(t)idtd​ψ(t)=Hψ(t). In finite dimensions the solution is the matrix exponential e−itHψ(0)e^{-itH}\psi(0)e−itHψ(0), computed by diagonalizing HHH. The operators of physics (the Laplacian, Schrödinger operators with…

12 thms2 active usersReviewed
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6KMkmehltretter821385
7ECEthan Cheung Wang1370
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9ALAlien608689
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Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

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