August 30, 2018

Google’s Cirq: Built for Noisy Intermediate Scale Quantum

Learning is a continuous process (Einstein). Google put together Cirq, a quantum computing programming language. Cirq is intended to permit programming noisy, mid-scale, quantum computers. Not a coincidence, but it will permit programming Goggle’s 72-qubit Bristlecone via QAaS. Further, “Cirq will allow us to: Fine tune control over Quantum circuits, specify gate behavior using native gates, place gates appropriately on the device & schedule the timing of these gates.” To help make sense of Cirq and quantum, the below link will take you to a layperson’s piece. 

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August 30, 2018

Qrypt: ORNL’s QRNG

Oak Ridge National Lab’s quantum random number generator is being harnessed by industry. Using an LED, their device produces photons while measuring the quantumness of the produced photons. Qrypt will harness these quantum statistics to produce “unique and unpredictable encryption keys.” Doing so places an exponentially better decryption mitigation method in place lending to greater communication cybersecurity. 

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August 30, 2018
On Point

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