Exponential Separations Between Learning With And Without Quantum Memory

By Editorial Team · September 28, 2026 · 7 min read

Exponential Separations Between Learning With And Without Quantum Memory Information Guide

  1. Introduction on Exponential Separations Between Learning With And Without Quantum Memory
  2. Core Information
  3. History
  4. Detailed Analysis
  5. Summary

Introduction on Exponential Separations Between Learning With And Without Quantum Memory

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Core Information

Information QIP 2022 | Exponential separations between learning with and without quantum memory (Jordan Cotler) Guide
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History

Details Exponential Separation Between Shallow Quantum Circuits and Unbounded... Guide
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Jordan Cotler | October 19, 2021 | Quantum-enhanced Learning using a Quantum Memory
Jordan Cotler | October 19, 2021 | Quantum-enhanced Learning using a Quantum Memory
Session 5B – Talk 2
Session 5B – Talk 2
Experimental advantage in learning with noisy Quantum memory - Quantum Summer Symposium 2021
Experimental advantage in learning with noisy Quantum memory - Quantum Summer Symposium 2021
Jordan Cotler (Harvard University): Quantum Complexity of Experiments
Jordan Cotler (Harvard University): Quantum Complexity of Experiments
Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA
Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA
Quantum advantage in learning from experiments
Quantum advantage in learning from experiments
Exponential separations using guarded extension variables
Exponential separations using guarded extension variables
Casper Gyurik: Exponential separations between classical and quantum learners
Casper Gyurik: Exponential separations between classical and quantum learners
QIP 2022 | Toward Instance-Optimal Quantum State Certification With Incoherent ... (Sitan Chen)
QIP 2022 | Toward Instance-Optimal Quantum State Certification With Incoherent ... (Sitan Chen)
STOC 2023 - Session 7B - Memory-Sample Lower Bounds for Learning with Classical-Quantum Hybrid Mem.
STOC 2023 - Session 7B - Memory-Sample Lower Bounds for Learning with Classical-Quantum Hybrid Mem.
Angelo Lucia - Thermalization of quantum memories - a tensor networks approach
Angelo Lucia - Thermalization of quantum memories - a tensor networks approach

Detailed Analysis

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Last Updated: September 28, 2026

Summary

Quantum Complexity of Experiments - Jordan Cotler Update
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Summary

Robin Kothari (Microsoft Research) ... Jordan Cotler (Harvard University). Recorded 15 September 2023. Hsin-Yuan Huang (Robert) of Google One of the core tasks of science and technology is to enable us to learn about the facets of our universe more deeply. In this talk ... Authors: Emre Yolcu, Marijn Heule (Carnegie Mellon University) ITCS - Innovations in Theoretical Computer Science. This talk was part of the Thematic Programme on "Tensor Networks: Mathematical Structures and Novel Algorithms" held at the ...

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