November 14, 2018
Hardware-agnostic Quantum Computer Software. Xanadu corporation has developed hardware-agnostic quantum computer software dedicated to machine learning. Currently available systems utilizing qubits and photonic methods to enable quantum computation have built-in support with the package, dubbed PennyLane.
PennyLane’s Key Points and Features:
- Scalability inherent in its design
- Implements the Backpropagation algorithm; key for training deep learning models
- Plugin system design
- Hybrid quantum-computation routines
The plugin developer system in PennyLane permits integration to major corporation quantum computing services; the IBM Quantum Experience, for example. Xanadu’s “Strawberry Fields software stack, released earlier this year…enabled the rapid prototyping and optimization of quantum circuits using existing machine learning tools.” Building on Strawberry Fields experiences, Xanadu released PennyLane.
November 9, 2018
Quantumizing the Speed of Data Searches. New research and advancements in the “quantum walk” protocol shows promising application. “…[C]onsidering the protocol’s essence as an optimization process…the protocol of fast hitting on glued trees may further trigger many useful applications that utilize quantum speed-up for tasks…” Data searches and logistics are potential gainers of this protocol. Benefit is also seen in the quantum device’s scalability, utilizing an integrated quantum photonic chip. Use of the chip’s scalability places it as a viable candidate for simulating complex physical systems.
October 15, 2018
Quantum Computing Algorithms and Big Data’s Data. A Purdue University’s research team has embarked on a task to combine quantum computing and analysis of big data sets. How big? 3 petabytes of data is collected every two seconds. The data is coming from the U.S. electrical grid. Monitoring the data – currents and voltages – enables the grid operators to make decisions which keep the grid stable. To analyze such a tremendous amount of data requires unique systems invoking unique algorithms.
Quantum computing is being studied as the analytical solution. The team has created a hybrid quantum algorithm using a quantum Boltzmann machine – an artificial neural network used in data analysis and machine learning. Their method is being refined though has already been proven for ‘small molecular systems’. Looking forward, the Purdue team’s algorithms have been thought to apply to several complex problems. One, to keep the electric grid stable. Two, to better model chemical interactions. Three, “to determine the lifetime of solar farms and other sustainable energy technologies.” Though in the early stages of quantum computing research to this end, the team’s studies bear watching.
October 9, 2018
Moving Beyond Theory: Chemical Modelling. Using IBM’s Q Network, Cambridge Quantum Computing and the JSR Corporation claim to have successfully implemented quantum algorithms. The algorithms were used to calculate “the excited states of molecules that take into account multi-reference characteristics.” This advance in quantum algorithm development, focused on chemical applications, builds the foundation for increasingly complex chemical computations using quantum systems. This report is found here at TMCnet.com…
October 1, 2018
Microsoft Adds Chemical Simulation to Quantum Development Kit. Microsoft’s Q# (“Q-Sharp”) quantum developer’s development kit has a new simulation library; this time it’s chemical. This new addition is geared toward one of the most anticipated application fields for quantum computers – chemistry. Without anyone or any organization having a working quantum computer which is “supreme”, the quantum development kit is merely anticipatory to something which may never arrive (”supreme” being the point at which a quantum computer can outperform the most advanced classical computer).
It never hurts to ‘learn the basics’ and prepare for what many consider the eventuality of a fully quantum computer in all aspects. This report is found here at TC…
qRAM: Quantum Random Access Memory. qRAM is needed for most of the quatnum algorithms being researched, according to scientists at the University of Waterloo; the concept dates back to 2008. This report is found at GIZMODO…
September 14, 2018
3 Way 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 advice from industry to stymie the coming quantum computer threat to data. Simply:
#1 Take PKI encryption algorithms and replace them with more complex, quantum-resistant algorithms.
#2 Use true quantum random number generators (QRNG) to generate keys not susceptible to statistical reverse engineering (drop any use of asymmetric keys and enable high-entropy symmetric keys for your encryption).
#3 Use “quantum key distribution, where instead of using mathematics to protect the transport of the key, use quantum physics.”
Albeit simplistic, the above 3 recommendations, if properly implemented, should keep data secure in the event quantum computers start to function as envisioned. This report is found at ZDNet…
Patriot Day, 2018
Quantum Computing App for Biotech. Biotech is getting a head-start in quantum computing applications development. This report is found here at M…
High Cost v. High Risk. Data security is paramount to any organization. Does one protect against quantum hacking now, or wait until quantum computing becomes a real threat? This report is found here…
September 5, 2018
Software Security. “Un-believer” thinks quantum will never arrive sees promise in software code improvement. This report is found here at Eweek…