D-Wave Two

D-Wave Two
Also known as Vesuvius
Developer D-Wave Systems
Manufacturer D-Wave Systems
Product family D-Wave
Type Quantum computer
CPU approximately 512-qubit (varies)
Dimensions 10 square metre room
Predecessor D-Wave One
Website www.dwavesys.com/d-wave-two-system

D-Wave Two (project code name Vesuvius) is the second commercially available quantum computer, and the successor to the first commercially available quantum computer, D-Wave One. Both computers were developed by Canadian company D-Wave Systems.[1] The computers are not general purpose, but rather are designed for quantum annealing. Specifically, the computers are designed to use quantum annealing to solve a single type of problem known as quadratic unconstrained binary optimization.[2] As of 2015, it is still heavily debated whether large scale entanglement takes place in D-Wave Two, and whether current or future generations of D-Wave computers will have any advantage over classical computers.[3][4][5][6][7][8][9]

D-Wave Two boasts an approximately 512-qubit CPU, an increase over the approximately 128 qubit chips of the D-Wave One series[10] Available qubit numbers can vary significantly from chip to chip due to flaws in the manufacturing process.[11] The increase in qubit count for the D-Wave Two was accomplished by tiling qubit pattern of the D-Wave One. This pattern, named chimera by D-Wave Systems, has a limited connectivity such that a given qubit can only interact with at most six other qubits.[9] As with the D-Wave One, this restricted connectivity greatly limits the optimization problems that can be approached with the hardware.[11]

In March 2013, several groups of researchers at the Adiabatic Quantum Computing workshop at the Institute of Physics in London produced evidence of quantum entanglement in D-Wave CPUs.[12] Additionally, in March 2014, researchers from University College London and University of Southern California supported that, finding that the D-Wave Two showed the quantum physics outcome that it should while not showing three different classical physics outcomes.[13][14]

In May 2013, Catherine McGeoch verified that D-Wave Two finds the solution to the problems it is supposed to solve by comparing the machine against a general purpose solver (CPLEX) which proves optimality. Her work was concerned with demonstrating the correctness of the device, but is often being incorrectly cited by public media as a head-to-head benchmark. It has repeatedly been shown that D-Wave Two is no faster than an ordinary laptop.[15][16] In April 2013, an arXiv paper by Boixo demonstrated that simulated annealing only needs about a second on a laptop to solve the type of problems considered by McGeoch.[15] The paper appeared in Nature Physics in February 2014.[17] Independently, Alex Selby demonstrated that a well-designed heuristic algorithm was about as fast as D-Wave Two in June 2013. In addition Jean Francois Puget from IBM demonstrated that, if tuned correctly, CPLEX is about 10-15 times faster than D-Wave[18] which ultimately demonstrates that the claims about 3,600 times speedup or more is completely incorrect.

A D-Wave Two in the Quantum Artificial Intelligence Lab at the NASA Advanced Supercomputing Division of Ames Research Center is used for research into machine learning and related fields of study. NASA, Google, and the Universities Space Research Association (USRA) started the lab in 2013.[19][20][21][22]

References

  1. The Quantum Quest for a Revolutionary Computer Grossman, Lev. 'The Quantum Quest For A Revolutionary Computer'. TIME.com. N. p., 2014. Web. 20 Mar. 2015.
  2. Dahl, E. D. (November 2013). "Programming with D-Wave: Map Coloring Problem". D-Wave Official Whitepaper.
  3. "Shtetl-Optimized". Scottaaronson.com. Retrieved 1 January 2015.
  4. "Shtetl-Optimized". Scottaaronson.com. Retrieved 1 January 2015.
  5. "Shtetl-Optimized". Scottaaronson.com. Retrieved 1 January 2015.
  6. "The recent "How Quantum is the D-Wave Machine?" Shin et.al. paper - Hack The Multiverse". Hack The Multiverse. Retrieved 1 January 2015.
  7. Rønnow, Troels F., et al. "Defining and detecting quantum speedup." Science 345.6195 (2014): 420-424.
  8. Katzgraber, Helmut G., Firas Hamze, and Ruben S. Andrist. "Glassy chimeras could be blind to quantum speedup: Designing better benchmarks for quantum annealing machines." Physical Review X 4.2 (2014): 021008.
  9. 9.0 9.1 Shin, Seung Woo, et al. "How" Quantum" is the D-Wave Machine?." arXiv preprint arXiv:1401.7087 (2014).
  10. "D-Wave Defies World of Critics With 'First Quantum Cloud' - WIRED". WIRED. Retrieved 1 January 2015.
  11. 11.0 11.1 King, Andrew D., and Catherine C. McGeoch. "Algorithm engineering for a quantum annealing platform." arXiv preprint arXiv:1410.2628 (2014).
  12. Aron, Jacob (8 March 2013). "Controversial quantum computer aces entanglement tests". New Scientist. Retrieved 14 May 2013.
  13. Quentin Hardy (24 March 2014). "Quantum Computing Research May Back Controversial Company". New York Times.
  14. Walter Vinci, Tameem Albash, Anurag Mishra, Paul A. Warburton, Daniel A. Lidar (17 March 2014). "Distinguishing Classical and Quantum Models for the D-Wave Device".
  15. 15.0 15.1 "[1304.4595] Quantum annealing with more than one hundred qubits". Arvix.org. Retrieved 1 January 2015.
  16. "D-Wave vs CPLEX Comparison. Part 1: QAP (IT Best Kept Secret Is Optimization)". Ibm.com. Retrieved 1 January 2015.
  17. "Evidence for quantum annealing with more than one hundred qubits". Nature.com. Retrieved 1 January 2015.
  18. "D-Wave vs CPLEX Comparison. Part 2: QUBO (IT Best Kept Secret Is Optimization)". Ibm.com. Retrieved 1 January 2015.
  19. Choi, Charles (May 16, 2013). "Google and NASA Launch Quantum Computing AI Lab". MIT Technology Review.
  20. Hardy, Quentin (16 May 2013). "Google Buys a Quantum Computer". Bits. The New York Times. Retrieved 3 June 2013.
  21. "USRA - Quantum Computing". Usra.edu. Retrieved 1 January 2015.
  22. "Research Blog: Launching the Quantum Artificial Intelligence Lab". Research Blog. Retrieved 1 January 2015.

External links