PDF-How Powerful is Adiabatic Quantum Computation Wim van

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1 Introduction Quantum computation is a revolutionary idea that has fundamentally transformed our notion of feasible compu tation The most dramatic example of the

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How Powerful is Adiabatic Quantum Computation Wim van: Transcript

1 Introduction Quantum computation is a revolutionary idea that has fundamentally transformed our notion of feasible compu tation The most dramatic example of the power of quan tum algorithms was exhibited in Shors celebrated quan tum algorithms for. 845 December 12 2012 1 Introduction Quantum computations can be implemented not only by the action of quantum circuits but by the adiabatic evolution of a systems Hamiltonian This can be done by initializing the system into the ground state of a simp strateg for quantum adiabatic evolution Workshop on Complexity Resources in Physical Computation Oxford University Computing Laboratory Salvador El Michael Ben-Or. The Hebrew University. Michael Rabin’s Birthday Celebration. Randomized Protocols. Power of Randomization. Exponential . speedup for known algorithms. Complexity . – The jury is still out . Collection of two-state quantum systems (. qubits. ). Operations which manipulate isolated . qubits. or pairs of . qubits. Initialise. . qubit. to . single state. Detect . qubit. state. Large scale device:. Remm. , Roland Matt. Quantum Adiabatic Computation. The . problems solved. The methods. Simulated annealing. Quantum adiabatic computation. Simulated . quantum annealing. Results. Comparing SA,QA, SQA. Computers in a weird universe. Patrick Rall. Ph70. May 10, 2016. Advertising. “I laughed, I cried, I fell off my chair - and I was just reading the chapter on computational complexity … How is it possible for a serious book … to be so ridiculously entertaining?”. Michael Freedman. April 23, 2009. Parsa Bonderson. Adrian Feiguin. Matthew Fisher. Michael Freedman. Matthew Hastings. Ribhu Kaul. Scott Morrison. Chetan Nayak. Simon Trebst. Kevin Walker. Zhenghan Wang. Dung Nguyen. Chicago 19. th. January. Content. Motivation . Quantum bit (qubit) vs Classical bit (bit). Quantum Computation . Quantum Communication. Conclusion. Motivation. The end of Moore’s law scaling in silicon (because of quantum effects of particle at scale smaller than 7nm).. ideas. CS 498: Spring 2017. Amit, Elena, & Sole. Next-generation computing paradigms. The . Defense Advanced Research Projects Agency (DARPA). . “... . i. n . recent years even the best computer architectures haven’t been able to keep up with demand for the kind of simulation processing power needed to handle exceedingly complex design optimization and related problems.. By: Roshan Kathir, Javakar Jeyanathan, Theodore Egube. What is Quantum Computing?. Computing using quantum mechanics. Very powerful technology to allow extremely fast computing . Uses . qubits . instead of bits. Quantum Adiabatic Computation. The . problems solved. The methods. Simulated annealing. Quantum adiabatic computation. Simulated . quantum annealing. Results. Comparing SA,QA, SQA. Is there a quantum speedup?. Alper Sarikaya. Advised by Prof. Dave Bacon. Computer Science & Engineering. Chemistry. University of Washington. Undergraduate Research Symposium. May 15, . 2009. Quantum Computing Theory Group: . Implementation. Ben Feldman, Harvard University. Big . Techday. Conference. June 14, 2013. Image: Introduction to quantum information processing review, . Science. . 339. , 1163 (2013).. z = |0 >. ----a critical evaluation. Rui. Xian(Patrick. ). D. W. Leung, et al., Efficient implementation of coupled logic gates for quantum computation, Phys. Rev. A, 61, 042310(2000). CO781, July 2010. . Outline.

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