Reducing Monte Carlo Simulations to Near-real Time. IBM has revealed research results for quantum computing protocols processing Monte Carlo calculations. Typically, when using Monte Carlo simulations
Argonne National Laboratory: Reducing Quantum Noise. Many current quantum information applications suffer from decoherence. Decoherence is the loss of quantum information due to environmental noise
Noise may not be all that bad. There is reason to believe noise may be a source to be harnessed in implementation of quantum networks. This recent study suggests noise can increase energy transport rates.
Decoherence is a grind on the effort to move quantum computing forward. Efforts to overcome decoherence, the loss of a coherent state, is a field of much research. Scientists at MIT have published a method to help resolve part of the issue which is a failing to correct the dominant noise type in quantum sensors. Their method exploits spatial correlations involving qubits and tailors the error-corrections to the “noise” vice temporal correlations between signal properties and noise.
Quantum supremacy is a popular term but will it come to fruition? We at The Qubit Report believe quantum computing will get here sooner or later. But keep all angles in mind.
Too Primitive To Deliver While the excitement of quantum computing builds, we must keep-in-check the possibility that quantum supremacy may not take place. In this
Is Oxygen on a SQUID Surface Eating Qubits? Here’s a new twist to the noise problem: Oxygen molecules on the surface of a SQUID –
100 Million times better? Aussies are at it again. Researchers in Sydney have managed to reduce fuzzy results from quantum sensors. Methods are said to
100 Million times better? Aussies are at it again. Researchers in Sydney have managed to reduce fuzzy results from quantum sensors. Methods are said to
