Hardware Initiative at Quantum Artificial Intelligence Lab
Posted by Hartmut Neven, Director of Engineering
The Quantum Artificial Intelligence team at Google is launching a hardware initiative to design and build new quantum information processors based on superconducting electronics. We are pleased to announce that John Martinis and his team at UC Santa Barbara will join Google in this initiative. John and his group have made great strides in building superconducting quantum electronic components of very high fidelity. He recently was awarded the London Prize recognizing him for his pioneering advances in quantum control and quantum information processing. With an integrated hardware group the Quantum AI team will now be able to implement and test new designs for quantum optimization and inference processors based on recent theoretical insights as well as our learnings from the D-Wave quantum annealing architecture. We will continue to collaborate with D-Wave scientists and to experiment with the “Vesuvius” machine at NASA Ames which will be upgraded to a 1000 qubit “Washington” processor.
Posted by Hartmut Neven, Director of Engineering
The Quantum Artificial Intelligence team at Google is launching a hardware initiative to design and build new quantum information processors based on superconducting electronics. We are pleased to announce that John Martinis and his team at UC Santa Barbara will join Google in this initiative. John and his group have made great strides in building superconducting quantum electronic components of very high fidelity. He recently was awarded the London Prize recognizing him for his pioneering advances in quantum control and quantum information processing. With an integrated hardware group the Quantum AI team will now be able to implement and test new designs for quantum optimization and inference processors based on recent theoretical insights as well as our learnings from the D-Wave quantum annealing architecture. We will continue to collaborate with D-Wave scientists and to experiment with the “Vesuvius” machine at NASA Ames which will be upgraded to a 1000 qubit “Washington” processor.
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- +Ian King The problem is, with blurry vision squares look round. Allow me to build you bifocals: Analog and digital computing refer to both a process and an architecture. Quantum refers only to an architecture and not a 'process'. There is no quantum 'way' to compute. Annealing is a process of finding local minima by maintaining coherence through the spectral gap, terminating the transverse field and allowing the adiabatic process to equalize. There is nothing inherently 'quantum' about it, in fact the problem with DWave was that it could be simulated on a classical computer and that simulation was faster. The goal is a true digital quantum gate, not a 'quantum' way of computing, whatever that is. Its true that the qubits (J-junction SQUIDS) are coupled to traditional A/D converters for final processing, as we do taking analog reading to digital, but annealing is an analog process.
I'd love to look at your analog AI, but you are a little thin on references or links.Sep 22, 2014 - +J. Neville Groff D-Wave is not allowing universal adiabatic computing by restricting the Hamiltonian to the Ising model but the former has been shown to be computationally equivalent to the gate model: http://arxiv.org/abs/quant-ph/0405098
The gate model is not the only one in town although there certainly is quite a bit of myopia when it comes to alternatives (another one would be quantum cellular automatons for instance).Sep 22, 2014 - +Henning Dekant Amazing. I'm not in the field and I learned the math indirectly through studying category theory but that document looks foundational judging by date. It looks to be the basis of DWave and through to the current 'surface code' of the new machine? It looks like they describe the 2D qubit grid proposed in the new Martinis machine in theorem 1.3. From the description of the gate equivalent operations in that paper, specifically the 3 qubit reversible gate that seems to imply a universal Toffoli gate, it looks like Martinis machine is not just a path to longer coherence and better annealing but to actual gate-equivalent computation. Well, I guess when you combine superposition, reversible universal gates, entanglement and other operations that would render the operation of a quantum computer as a whole unsimulatable on a classical system then you really do have a 'quantum way' of computing.Sep 23, 2014
- Oct 7, 2014
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