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Analogue quantum computers: Still wishful thinking?

Date:

February 11, 2015

Source:

Springer Science+Business Media

Summary:

Many challenges lie ahead before quantum annealing, the analogue version of quantum computation, contributes to solve combinatorial optimization problems. Traditional computational tools are simply not powerful enough to solve some complex optimization problems, like, for example, protein folding. Quantum annealing, a potentially successful implementation of analogue quantum computing, would bring about an ultra-performant computational method.

Many challenges lie ahead before quantum annealing, the analogue version of quantum computation, contributes to solve combinatorial optimisation problems.

Traditional computational tools are simply not powerful enough to solve some complex optimisation problems, like, for example, protein folding. Quantum annealing, a potentially successful implementation of analogue quantum computing, would bring about an ultra-performant computational method. A series of reviews in this topical issue of EPJ ST, guest-edited by Sei Suzuki from Saitama Medical University, Japan, and Arnab Das from the Indian Association for the Cultivation of Science, Kolkota, India, focuses on the state of the art and challenges in quantum annealing. This approach, if proven viable, could greatly boost the capabilities of large-scale simulations and revolutionise several research fields, from biology to economics, medicine and material science.

A Canadian company called D-Wave has been commercialising what it claims are two quantum annealers of 100 qubits, since 2011, and 500 qubits, since 2013. "Unlike a bit in a traditional computer, which can take values either 0 OR 1, a quantum bit (qubit) in a quantum computer can take values which are superimpositions of 0 AND 1, like a switch in a state of being on and off simultaneously," explains Das.

The trouble, Suzuki explains, is that "computation using the quantum mechanics is technically difficult and was thought to be unrealistic until recently." Before the advent of the D-Wave machines, realising and manipulating such a superimposed state in real hardware beyond the size of a few (< 10) qubits seemed to be a daunting task. Interaction with the environment rapidly decays such strange superposition states into ordinary 0 OR 1 states, according to Das. As Suzuki notes: "This is because of the insufficiency of techniques that control and protect microscopic elements against disturbances.."

There have been speculations from the science community as to whether the D-Wave technology actually delivers quantum annealing. "The reviews of our latest issue show that the performances of the D-Wave machines as quantum computers, while noteworthy, have remained essentially inconclusive," explains Das, "and scientists have not been able to definitively ascertain that such a device qualifies as a true quantum object."

Story Source:

The above story is based on materials provided by Springer Science+Business Media. Note: Materials may be edited for content and length.

Journal References:

Arnab Das, Sei Suzuki. Quo Vadis quantum annealing? The European Physical Journal Special Topics, 2015; 224 (1): 5 DOI: 10.1140/epjst/e2015-02337-1
A. Das, S. Suzuki. Debate and discussion: Quo Vadis quantum annealing? The European Physical Journal Special Topics, 2015; 224 (1): 205 DOI: 10.1140/epjst/e2015-02351-3

Cite This Page:

Springer Science+Business Media. "Analogue quantum computers: Still wishful thinking?." ScienceDaily. ScienceDaily, 11 February 2015. .

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Analogue Quantum Computers: Still Wishful Thinking?

Feb. 11, 2015 — Many challenges lie ahead before quantum annealing, the analogue version of quantum computation, contributes to solve combinatorial optimization problems. Traditional computational tools are simply ... full story