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Home » Research Review: Recent Results in Quantum Complexity Theory (QCT)

Research Review: Recent Results in Quantum Complexity Theory (QCT)

January 19, 2025 by Kumar Prafull Leave a Comment

Table of Contents

  1. Introduction
  2. MIP* = RE and Its Impact
  3. Quantum PCP Progress and New Approaches
  4. QMA-Completeness Results for Hamiltonians
  5. Quantum Supremacy: Refinements and Limits
  6. Interactive Proofs with Quantum Verifiers
  7. Quantum Proof Compression and Verification
  8. Advances in Quantum Query Complexity
  9. Tight Bounds for Quantum Walk Algorithms
  10. Quantum Separations in Communication Complexity
  11. Lattice Problems and Quantum Lower Bounds
  12. Quantum Machine Learning Complexity
  13. Quantum State Certification Protocols
  14. BQP vs SZK and Oracle Constructions
  15. Reductions Between Quantum Learning Problems
  16. Randomness Expansion via Quantum Protocols
  17. Quantum Advice, Delegation, and Verification
  18. Circuit Lower Bounds in Restricted Quantum Models
  19. Quantum Nonlocal Games and Hardness Amplification
  20. Conclusion and Open Questions

1. Introduction

Quantum complexity theory (QCT) is evolving rapidly, with breakthroughs in interactive proofs, quantum learning, and cryptography. This review summarizes major recent results that define and refine the structure and power of quantum computations.

2. MIP* = RE and Its Impact

This landmark result shows that multiprover interactive proofs with entangled provers can decide all recursively enumerable languages. It implies:

  • Undecidability of the quantum Tsirelson problem
  • Collapse of classical vs quantum proof separation in this setting
  • Deeper connections between entanglement and computation

3. Quantum PCP Progress and New Approaches

Recent work develops:

  • Quantum low-degree testing for QPCP
  • Quantum locally testable codes
  • New encoding schemes for constant-soundness QMA
    These approaches aim to resolve the QPCP conjecture or construct robust QMA-hard approximation problems.

4. QMA-Completeness Results for Hamiltonians

New complete problems have been proposed for:

  • Translationally invariant Hamiltonians
  • Fermionic systems and condensed matter models
  • Low-energy quantum optimization with locality constraints
    These results expand QMA’s expressiveness in modeling physics.

5. Quantum Supremacy: Refinements and Limits

Post-Google, refinements include:

  • Classical simulators based on tensor contraction and hybrid Monte Carlo
  • Better noise models for supremacy tasks
  • Debate over robustness and reproducibility
    Focus is shifting toward practical, certifiable advantage in useful domains.

6. Interactive Proofs with Quantum Verifiers

Quantum interactive proof classes (like QIP and QIP(2)) have new completeness/soundness tradeoff protocols and verifier restrictions. Applications include cryptographic delegation and trust verification.

7. Quantum Proof Compression and Verification

Recent protocols use:

  • Quantum state tomography with fewer copies
  • Compressed QMA protocols
  • Self-verifying quantum proofs
    These aim to reduce proof length and allow public verifiability.

8. Advances in Quantum Query Complexity

Key developments include:

  • Tight adversary lower bounds for symmetric functions
  • Improvements in triangle detection and collision problems
  • Hybrid adversary techniques for bounded-error queries

9. Tight Bounds for Quantum Walk Algorithms

Quantum walks over Johnson graphs and product graphs now have nearly optimal query complexity bounds. Applications include hitting time, graph property testing, and element distinctness.

10. Quantum Separations in Communication Complexity

Quantum-classical separations have been shown for:

  • Total functions under low-cost models
  • One-way and simultaneous message protocols
  • Distributed learning under bandwidth constraints

11. Lattice Problems and Quantum Lower Bounds

New insights into:

  • Reductions from Ring-LWE and Module-LWE
  • No-go results for certain quantum approximations of SVP
  • Hybrid hardness assumptions for cryptographic analysis

12. Quantum Machine Learning Complexity

Ongoing results include:

  • Lower bounds for learning with quantum statistical queries
  • Limits of quantum neural nets under noise
  • Quantum boosting and perceptron complexity

13. Quantum State Certification Protocols

Protocols allow:

  • Self-testing of quantum devices
  • Efficient certification of entanglement and mixed states
  • Property testing with fewer measurements

14. BQP vs SZK and Oracle Constructions

Recent oracle results show:

  • BQP ⊄ SZK (statistical zero knowledge) in relativized worlds
  • New candidate problems for collapsing SZK under quantum adversaries

15. Reductions Between Quantum Learning Problems

New frameworks connect:

  • Quantum agnostic learning and boosting
  • Reductions from noisy label problems to LWE-style assumptions
  • Complexity of learning stabilizer and Clifford circuits

16. Randomness Expansion via Quantum Protocols

Device-independent protocols expand random bits using:

  • Bell inequality violations
  • Nonlocal games
  • Verified quantum sampling
    These systems are now robust to noise and loss.

17. Quantum Advice, Delegation, and Verification

Recent work explores:

  • Non-interactive quantum delegation
  • Delegation with reusable quantum advice
  • Verification protocols with one-time classical interactions

18. Circuit Lower Bounds in Restricted Quantum Models

New lower bounds for:

  • QNC and QAC (quantum low-depth circuits)
  • QAOA-style circuits under locality constraints
  • Quantum read-once branching programs

19. Quantum Nonlocal Games and Hardness Amplification

Hardness amplification in quantum games is being refined via:

  • Parallel repetition theorems for quantum settings
  • Entanglement-preserving transformations
  • Applications to cryptography and verification complexity

20. Conclusion and Open Questions

Recent results in QCT redefine classical boundaries and reveal the immense power of quantum models. Key future directions include:

  • Proving unconditional lower bounds
  • Resolving QMA vs QPCP
  • Connecting quantum learning and verification
  • Designing practically verifiable quantum advantage tasks

Filed Under: Quantum 101 Tagged With: Quantum Complexity

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