13th March 2018 – Moore’s Law At Warp Speed: The Global Security Risks Of A Post-Quantum World – Forbes
Brief discussion of the security implications of quantum computing on encryption.
An analysis of what IBM is currently up to, including working with its client on quantum computing i.e. JPMorgan Chase (on risk optimization and portfolio optimisation), Daimler (on logistics and self-driving routes) and JSR (on computational chemistry).
9th March 2018 – Google thinks it’s close to “quantum supremacy.” Here’s what that really means. by MIT Technology Review
A discussion of the Google’s recently announced Bristlecone quantum chip which has 72 qubits, and is predicted to achieve quantum supremacy soon, possibly in the next few months.
8th March 2018 – Australian scientists move closer to world-beating quantum computer – The Guardian.
The Australian team have demonstrated communication and correlation of phosphorus atoms in silicon. They have yet to achieve entanglement, but predict that they will get to 1 entangled atom by the end of the year and 10 within 5 years. There’s a nice article, also from The Guardian, from 2 years ago here about the head of the research team, Michelle Simmons, and her work.
About the two Chinese giant tech companies investments in quantum computing, including Alibaba’s $15 billion investment in next-gen tech.
7th March 2018 – Bristol University Scales Silicon Quantum Photonic Technology
A team of scientists led by Bristol University published a paper in the journal Science titled Multidimensional quantum entanglement with large-scale integrated optics and a press release titled Scaling silicon quantum photonic technology
They have demonstrated technology with two entangled photons, each in 15 different states, which provides 15×15 dimensionality and “provides a clear path to scaling up to the many millions of components that are ultimately needed for large-scale quantum computing applications“. The use of silicon technologies similar to that used in conventional chip production and this ability to scale make it very interesting when compared to the other main quantum computing technologies, including ion trap and superconducting.
A piece summarising the current state of quantum computing and then describing the recent research on quantum computing being done at the University of Southern California, including work on using quantum computers to predict gene binding and to train AI to “help physicists look for patterns”.
Quick summary article about Google’s new 72 qubit chip and the competition from IBM and Microsoft.
Chinese firm Alibaba in collaboration with the Chinese Academy of Sciences (CAS) offer up 11 qubit system in the cloud. Short article, including comparison with D-Wave’s adibiatic quantum computing.
2nd March 2018 – Microsoft Gives Devs More Open Source Quantum Computing Goodies – Linux Insider
New update to the Quantum Development Kit that includes support for Linux and Mac, as well as Python interoperability
Talks about that fact that, despite usable quantum computers maybe being a decade off, there are several short term ‘hybrid’ methods that use both quantum and conventional computing that could have powerful applications.
Discussion about the hype around quantum computing, quantum supremecy and the big problem of error correction.
Two Microsoft execs working on quantum computing talk to Barron’s about why they think their topological qubits are better than the competitions – due to lower error rates. These qubits use the “Majorana fermion,” – “a particle that has the property of being both matter and anti-matter, but which had existed for decades as only an hypothesis.” and Microsoft think they will be able to develop a topological qubit by the end of 2018. A reasonably detailed article that gives more insight in Microsoft’s efforts.
Discussion of the challenges of error correction in quantum computers, and how quantum computers are still at a very early stage in solving this problem.
19th February 2018 – THE ONGOING BATTLE BETWEEN QUANTUM AND CLASSICAL COMPUTERS – Wired
Detailed discussion of what is involved in achieving “quantum supremacy”.
17th February 2018 – Commentary: These Next-Generation Supercomputers Are So Hot They Need to Run in a Freezer – Fortune
Article summarising the state of quantum computing at the beginning of 2018 and its uses and perils.
16th February 2018 – Promising method for improving quantum information processing – Science Daily
Researchers at the US Department of Energy’s ORNL (Oak Ridge National Laboratory) Quantum Information Science Group are working on encoding photons with quantum information that could give the ability to do distributed quantum computing. This is an exciting result because the ability to do quantum processing across multiple physically separate systems could be a big factor in the future success of quantum computing.
Talks about how a team of researchers have successfully built a “programmable two-qubit silicon-based processor“. This BBC article contains a link to the full, readable version of the Nature paper titled “A programmable two-qubit quantum processor in silicon”
Detailed article about a Nature journal paper titled A coherent spin–photon interface in silicon The Princetown team have been able to create qubits from single electrons in silcone and then been able to transfer the the quantum information to a particle of light. A very exciting advance as it could make it much easier to build large scale quantum devices in which quantum information moves around in photons.
Mathematician Gil Kalai explains the reasons why he thinks the noise problem in quantum computing will prevent it ever becoming a useful technology. He thinks that “the effort required to obtain a low enough error level for any implementation of universal quantum circuits increases exponentially with the number of qubits, and thus, quantum computers are not possible”
4th February 2018 – THE ERA OF QUANTUM COMPUTING IS HERE. OUTLOOK: CLOUDY – Wired
Good and fairly detailed article about the state of quantum computing, including analysis of the problem of error correction and noise.
28th January 2018 – Microsoft and Google prepare for big leaps in quantum computing – Financial Times
Summary of the field, including IBM, Microsoft and Google at the beginning of 2018.
About big financial companies getting involved with quantum computing, including JP Morgan.
Member of Google’s Quantum AI Laboratory talk about investment opportunities that may be realisable in the next few years, well before the advent of a full scale quantum computer. They “highlight three commercially viable uses for early quantum-computing devices: quantum simulation, quantum-assisted optimization and quantum sampling. Faster computing speeds in these areas would be commercially advantageous in sectors from artificial intelligence to finance and health care” Their discussion of how a small increase in product quality, using quantum computing, could help a business achieve large gains over their competitors is an interesting one.