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Noncommutative �Property Testing

Henry Yuen

Columbia University

 

 

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Overview

  • Property testing is the study of local-to-global phenomena in theoretical computer science and combinatorics.

  • This talk: a noncommutative model of property testing.
    • Towards a systematic study of local-to-global phenomena of quantum functions, whose evaluations are probabilistic, given by measurements on a quantum state.�
    • Will describe examples of testing quantum functions, including key ingredients of MIP* = RE.�
    • Many possible questions and avenues to explore.

 

 

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Classical property testing

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Classical properties

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The classical model

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The classical model

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The questions

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Linearity testing

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Blum-Luby-Rubinfeld (BLR) test

 

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Low-degree testing

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Line-vs-Point Low-Degree Test

 

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A noncommutative model

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Probabilistic boxes

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Probabilistic boxes

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Quantum boxes

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Quantum functions

 

 

 

 

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Quantum functions

 

 

 

 

 

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Quantum functions

 

 

 

 

 

 

 

 

 

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Quantum functions

 

 

 

 

 

 

 

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Generalization of classical functions

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Commutative quantum functions are classical

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In other words, commutative quantum functions are equivalent to direct sums of deterministic classical functions!�

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Order matters

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Queries

Outputs

 

 

 

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Order matters

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Queries

Outputs

 

 

 

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New model, new questions

  • What does property testing look like in this model?

  • What can we deduce about internal structure of quantum �functions by probing its inputs and outputs?

  • What local-to-global phenomena do we have in the noncommutative�setting?

  • Do classical property testing guarantees lift to quantum setting?

  • What inherently noncommutative properties can we test?

 

 

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Linearity testing, revisited

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Blum-Luby-Rubinfeld (BLR) test

 

 

 

 

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Magic Square

Unsatisfiable CSP.

 

 

Magic Square Test

 

 

 

 

 

Reason: There exists a �noncommutative solution to CSP.

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Magic Square

 

 

 

 

Conversely, a MS Operator Solution yields �quantum function that always passes test.

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Magic Square

Example of operator solution for Magic Square where��

are Pauli matrices.

 

 

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Magic Square

 

Magic Square Test is robust test for Magic Square operator solutions!

 

Magic Square Test

 

 

 

This theorem (and others like it) is the heart of many results about

  • Protocols for classically verifying quantum computations (RUV ‘12, CGJV ‘18)
  • Device-independent randomness expansion/key distribution (CY ‘14, JMS ‘18, Vidick ’18,… )
  • Complexity of MIP* (NV ‘17, NV ‘18, FJVY ’19, JNVWY ‘20)

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Testing larger dimension?

  • Magic Square is a (robust) test for 4-dim quantum functions.

  • Tests for higher dimension? Are there tradeoffs between
    • Dimension guarantee
    • Efficiency of test (query, computational complexity)
    • Robustness

Parallel Magic Square

(Coudron-Natarajan 2016, Arnon-Friedman-Y. 2018)

Complexity

Robustness

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Testing larger dimension?

  • Magic Square is a (robust) test for 4-dim quantum functions.

  • Tests for higher dimension? Are there tradeoffs between
    • Dimension guarantee
    • Efficiency of test (query, computational complexity)
    • Robustness

Parallel Magic Square

(Coudron-Natarajan 2016, Arnon-Friedman-Y. 2018)

2-of-n Magic Square

(Chao, Sutherland, Reichardt, Vidick 2017)

Complexity

Robustness

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Quantum Low-Degree Test

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Quantum Low-Degree Test = Classical Low-Degree Test + Magic Square game

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(Classical) Low-degree test, revisited

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Line-vs-Point Low-Degree Test

Proof: (at high level) Follows classical analysis of LDT, but with many more complications.

 

 

* JNVWY’20 prove result with different test.

 

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Quantum Low-Degree Test

 

 

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Quantum Low-Degree Test

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Quantum Low-Degree Test = Classical Low-Degree Test + Magic Square game

Are there tests with even better tradeoffs between complexity and certified dimension?

For the PCP experts: The great complexity/robustness tradeoff is due to efficiency of classical �low-degree test. Cannot use BLR, because rate of Hadamard code is exponentially worse than �Reed-Muller.

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MIP* = RE

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Connections with operator algebras

MIP* = RE has consequences for Connes’ Embedding Problem (CEP), which has many a number of equivalent formulations and many consequences in pure mathematics.

 

 

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Connections with operator algebras

MIP* = RE implies CEP has negative answer.

 

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Future directions

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Noncommutative graph properties

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Noncommutative graph properties

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Classical properties vs. quantum functions

  • When do classical property tests lift to quantum setting?

  • When do classical tests retain their robustness?

  • Example: do testers for locally testable codes force quantum functions to behave classically?

    • (JNVWY 21) Tensor codes are quantum sound (but parameters can be improved).

  • Example: analyzing agreement testers on HDX with quantum functions?

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Interesting noncommutative properties

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Thank You!

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Closeness of quantum functions

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Closeness of quantum functions

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