Scott Aaronson Associate Professor, EECS Quantum Computers and Beyond.

Slides:



Advertisements
Similar presentations
Closed Timelike Curves Make Quantum and Classical Computing Equivalent
Advertisements

BosonSampling Scott Aaronson (MIT) Talk at BBN, October 30, 2013.
How Much Information Is In Entangled Quantum States? Scott Aaronson MIT |
Multilinear Formulas and Skepticism of Quantum Computing Scott Aaronson UC Berkeley IAS.
How Much Information Is In A Quantum State? Scott Aaronson MIT |
New Evidence That Quantum Mechanics Is Hard to Simulate on Classical Computers Scott Aaronson Parts based on joint work with Alex Arkhipov.
Pretty-Good Tomography Scott Aaronson MIT. Theres a problem… To do tomography on an entangled state of n qubits, we need exp(n) measurements Does this.
The Equivalence of Sampling and Searching Scott Aaronson MIT.
The Computational Complexity of Linear Optics Scott Aaronson and Alex Arkhipov MIT vs.
When Qubits Go Analog A Relatively Easy Problem in Quantum Information Theory Scott Aaronson (MIT)
Quantum Computing and the Limits of the Efficiently Computable Scott Aaronson MIT.
Quantum Computing with Noninteracting Bosons
From EPR to BQP Quantum Computing as 21 st -Century Bell Inequality Violation Scott Aaronson (MIT)
New Computational Insights from Quantum Optics Scott Aaronson.
New Evidence That Quantum Mechanics Is Hard to Simulate on Classical Computers Scott Aaronson (MIT) Joint work with Alex Arkhipov.
New Evidence That Quantum Mechanics Is Hard to Simulate on Classical Computers Scott Aaronson Parts based on joint work with Alex Arkhipov.
Solving Hard Problems With Light Scott Aaronson (Assoc. Prof., EECS) Joint work with Alex Arkhipov vs.
The Computational Complexity of Linear Optics Scott Aaronson (MIT) Joint work with Alex Arkhipov vs.
Quantum Computing and the Limits of the Efficiently Computable
Quantum Computing and the Limits of the Efficiently Computable Scott Aaronson MIT.
Scott Aaronson (MIT) Based on joint work with John Watrous (U. Waterloo) BQP PSPACE Quantum Computing With Closed Timelike Curves.
Scott Aaronson (MIT) The Limits of Computation: Quantum Computers and Beyond.
Scott Aaronson Associate Professor, EECS And Why Every Other Major Sucks By Comparison.
New Computational Insights from Quantum Optics Scott Aaronson Based on joint work with Alex Arkhipov.
Turing Machines January 2003 Part 2:. 2 TM Recap We have seen how an abstract TM can be built to implement any computable algorithm TM has components:
University of Queensland
Copyright © CALTECH SCOTT AARONSON Massachusetts Institute of Technology QUANTUM COMPUTING AND THE LIMITS OF THE EFFICIENTLY COMPUTABLE.
Space complexity [AB 4]. 2 Input/Work/Output TM Output.
One time-travelling bit is as good as logarithmically many
THE QUANTUM COMPLEXITY OF TIME TRAVEL Scott Aaronson (MIT)
Scott Aaronson (MIT) Forrelation A problem admitting enormous quantum speedup, which I and others have studied under various names over the years, which.
Cove: A Practical Quantum Computer Programming Framework Matt Purkeypile Fall 2008.
University of Queensland
What More Than Turing- Universality Do You Want? Scott Aaronson (MIT) Papers and slides at +?
Quantum Computing Lecture 1 Michele Mosca. l Course Outline
Space complexity [AB 4]. 2 Input/Work/Output TM Output.
Tallinn University of Technology Quantum computer impact on public key cryptography Roman Stepanenko.
Quantum Computing and the Limits of the Efficiently Computable Scott Aaronson (MIT)
Limits and Horizon of Computing Post silicon computing.
Quantum Computing and the Limits of the Efficiently Computable Scott Aaronson MIT.
NP Complexity By Mussie Araya. What is NP Complexity? Formal Definition: NP is the set of decision problems solvable in polynomial time by a non- deterministic.
The Road to Quantum Computing: Boson Sampling Nate Kinsey ECE 695 Quantum Photonics Spring 2014.
David Evans CS150: Computer Science University of Virginia Computer Science Class 33: Computing with Photons From The.
Quantum Computing and the Limits of the Efficiently Computable Scott Aaronson MIT.
Barriers in Quantum Computing (And How to Smash Them Through Closer Interactions Between Classical and Quantum CS) Day Classical complexity theorists,
Verification of BosonSampling Devices Scott Aaronson (MIT) Talk at Simons Institute, February 28, 2014.
Quantum Computers By Ryan Orvosh.
Quantum Computing and the Limits of the Efficiently Computable Scott Aaronson (MIT) Papers & slides at
Christopher Monroe Joint Quantum Institute and Department of Physics NIST and University of Maryland Quantum Computation and Simulation.
Quantum Computing and the Limits of the Efficiently Computable Scott Aaronson (MIT  UT Austin) NYSC, West Virginia, June 24, 2016.
Scott Aaronson (MIT) April 30, 2014
Scott Aaronson (UT Austin)
Complexity-Theoretic Foundations of Quantum Supremacy Experiments
Scott Aaronson Computer Science, UT Austin AAAS Meeting, Feb. 19, 2017
Scott Aaronson (UT Austin)
Scott Aaronson Associate Professor, EECS
Bio Scott Aaronson is David J. Bruton Centennial Professor of Computer Science at the University of Texas at Austin.  He received his bachelor's from Cornell.
Turing Machine
Quantum Computing and the Limits of the Efficiently Computable
Limits and Horizon of Computing
Three Questions About Quantum Computing
Scott Aaronson (MIT) Talk at SITP, February 21, 2014
Based on joint work with Alex Arkhipov
Scott Aaronson (UT Austin)
Three Questions About Quantum Computing
BosonSampling Scott Aaronson (University of Texas, Austin)
Quantum Computing and the Quest for Quantum Computational Supremacy
The Computational Complexity of Decoding Hawking Radiation
Scott Aaronson (UT Austin) Papers and slides at
Linear Optical Quantum Computing
Presentation transcript:

Scott Aaronson Associate Professor, EECS Quantum Computers and Beyond

Moores Law

Extrapolating: Robot uprising?

But even a killer robot would still be merely a Turing machine, operating on principles laid down in the 1930s… =

Is there any feasible way to solve these problems, consistent with the laws of physics? And its conjectured that thousands of interesting problems are inherently intractable for Turing machines…

Relativity Computer DONE

Zenos Computer STEP 1 STEP 2 STEP 3 STEP 4 STEP 5 Time (seconds)

Time Travel Computer S. Aaronson and J. Watrous. Closed Timelike Curves Make Quantum and Classical Computing Equivalent, Proceedings of the Royal Society A 465: , arXiv:

What weve learned from quantum computers so far: 15 = 3 × 5 (with high probability)

Linear-Optical Quantum Computing My student Alex Arkhipov and I recently proposed an experiment, which involves generating n identical photons, passing them through a network of beamsplitters, then measuring where they end up Our proposal almost certainly wouldnt yield a universal quantum computerand indeed, it seems a lot easier to implement Nevertheless, we give complexity-theoretic evidence that our experiment would solve some sampling problem thats classically intractable Groups in Brisbane, Australia and Imperial College London are currently working to implement our experiment

Summary 1.From a theoretical standpoint, modern computers are all the same slop: polynomial- time Turing machines 2.We can imagine computers that vastly exceed those (by using closed timelike curves, etc.) 3.But going even a tiny bit beyond polynomial-time Turing machines (say, with linear-optical quantum computers) is a great experimental challenge