Software & Algorithms
3 Ways to Stymie Quantum’s Threat to Data Security
3 Ways to Stymie Quantum’s Threat to Data Security. QuintessenceLabs (QLabs), a company spun-out from the Australian National University in 2008, has three pieces of
High Cost v. High Risk to Data Security
Patriot Day, September 11th, 2018. Never Forget. High Cost v. High Risk. Data security is paramount to any organization. Does one protect against quantum hacking
Quantum Computing App for Biotech
Patriot Day, September 11th, 2018. Never Forget. Quantum Computing App for Biotech. Biotech is getting a head-start in quantum computing applications development. This report is
Data Security Company Boosts Income with Algorithm
Data Security Company Boosts Income with Algorithm. The Entanglement Research Institute signs data security agreement with firm providing quantum resistant cryptographic methods. This report
Software Security
Software Security. “Un-believer” thinks quantum will never arrive; sees promise in software code improvement. This report is found here at Eweek…
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.
Debugging Quantum Computers
Quantum computer systems are ‘buggy’. Their very nature requires immense cycles of validation. Rice University computer scientists believe their algorithm, Projected Factored Gradient Decent (ProjFGD), reduces the number of measurements many-fold.
Programming, Reprogramming Quantum Computers
University of Bristol researchers efforts push quantum computer programming forward. This work helps overcome the challenge of precision-entanglement beyond the current single-qubit systems. Using CMOS-compatible photonic components and metal-oxide semi-conductors, their device has proven two-qubit operations with 93% (+/- 4.5%) efficiency. “Photonics is a promising platform for implementing universal quantum information processing. Its main challenges include precise control of massive circuits of linear optical components and effective implementation of entangling operations on photons.”
Improved Quantum Particle Simulations
As studies involving quantum systems are discovering, the environment the systems reside in has substantial impact on particle behavior. Research teams at the University of St. Andrews have reported a new method to simulate quantum computing environments more accurately “even on a regular laptop.” With more complex systems envisioned to produce high-powered quantum computers, better simulations of quantum “many particle” interactions are needed.