Latest Quantum Computing Post

The week ending November 22, 2025, delivered a powerful surge of advancements in quantum computing demanding your attention—from Hong Kong deploying the city’s first chip-based quantum network to IBM and Cisco unveiling plans for a distributed, fault-tolerant quantum infrastructure. Funding accelerated, hardware reached new milestones, and post-quantum defenses hardened. These developments aren’t hype; they’re the building blocks of the next computing era. Here’s the full summary you can’t afford to miss.

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At The Qubit Report, our mission is to promote knowledge and opinion of quantum computing from the casual reader to the scientifically astute.  Because Quantum is Coming.

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Recent Quantum Computing Posts

Clever: Quantum-Safe Keyless Solution for Vehicles

01 Communique to Supply IronCAP Technology to Polydigi Tech to Develop Quantum-Safe Automotive Mobile Keyless Solution 01 Communique Laboratory Inc. (TSX-V:ONE)(OTCQB:OONEF) (the ‘Company’) one of the first-to-market, enterprise level cybersecurity providers for the quantum computing era, is pleased to announce its collaboration with Polydigi Tech,

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U.S. Women of Quantum Computing Go Big

In the Computational Chemistry, Materials, and Climate (CCMC) Group at Lawrence Berkeley National Laboratory (Berkeley Lab), the future of quantum information science is being driven in part by a group of women scientists who see that future — and theirs along with it — as quite bright. Early in their careers and coming from a variety of academic fields, these women comprise more than half of the postdoctoral researchers in the group, a rarity in computing science. But if they have their way, gender parity in their field won’t be an oddity much longer.

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Beginner’s Guide to Topological Materials

Ever since a new class of ­materials called topological insulators was first created—a discovery that helped win the Nobel Prize in Physics in 2016—researchers have been intrigued by the possibilities for electronics applications such as ultralow-energy transistors, cancer-scanning lasers­, and free-space communication beyond 5G. Topological insulators’ unusual name stems from their

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Major Step Forward for Quantum Error Algorithms

Quantum computers are poised to become a powerful tool for scientific and industrial computing in coming years. What was for decades a theoretical concept is finally becoming a physical reality. Scaling up quantum computing systems to a practical level of robustness and reliability is a

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Reconstructing Quantum Simulation State on a Classical Computer in Fewer Measurements

In a few years, a new generation of quantum simulators could provide insights that would not be possible using simulations on conventional supercomputers. Quantum simulators are capable of processing a great amount of information since they quantum mechanically superimpose an enormously large number of bit states. For this reason, however, it also proves difficult to read this information out of the quantum simulator. In order to be able to reconstruct the quantum state, a very large number of individual measurements are necessary. The method used to read out the quantum state of a quantum simulator is called quantum state tomography. “Each measurement provides a ‘cross-sectional image’ of the quantum state. You then put these cross-sectional images together to form the complete quantum state,” explains theoretical physicist Christian Kokail from Peter Zoller’s team at the Institute of Quantum Optics and Quantum Information at the Austrian Academy of Sciences and the Department of Experimental Physics at the University of Innsbruck. The number of measurements needed in the lab increases very rapidly with the size of the system. “The number of measurements grows exponentially with the number of qubits,” the physicist says. The Innsbruck researchers have now succeeded in developing a much more efficient method for quantum simulators.
Efficient method that delivers new insights
Insights from quantum field theory allow quantum state tomography to be much more efficient, i.e., to be performed with significantly fewer measurements. “The fascinating thing is that it was not at all clear from the outset that the predictions from quantum field theory could be applied to our quantum simulation experiments,” says theoretical physicist Rick van Bijnen. “Studying older scientific papers from this field happened to lead us down this track.” Quantum field theory provides the basic framework of the quantum state in the quantum simulator. Only a few measurements are then needed to fit the details into this basic framework. Based on this, the Innsbruck researchers have developed a measurement protocol by which tomography of the quantum state becomes possible with a drastically reduced number of measurements. At the same time, the new method allows new insights into the structure of the quantum state to be obtained. The physicists tested the new method with experimental data from an ion trap quantum simulator of the Innsbruck research group led by Rainer Blatt and Christian Roos. “In the process, we were now able to measure properties of the quantum state that were previously not observable in this quality,” Kokail recounts.
Verification of the result
A verification protocol developed by the group together with Andreas Elben and Benoit Vermersch two years ago can be used to check whether the structure of the quantum state actually matches the expectations from quantum field theory. “We can use further random measurements to check whether the basic framework for tomography that we developed based on the theory actually fits or is completely wrong,” explains Christian Kokail. The protocol raises a red flag if the framework does not fit. Of course, this would also be an interesting finding for the physicists, because it would possibly provide clues for the not yet fully understood relationship with quantum field theory. At the moment, the physicists around Peter Zoller are developing quantum protocols in which the basic framework of the quantum state is not stored on a classical computer, but is realized directly on the quantum simulator.
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The research was financially supported by the Austrian Science Fund FWF and the European Union, among others.
Publication: Entanglement Hamiltonian Tomography in Quantum Simulation. Christian Kokail, Rick van Bijnen, Andreas Elben, Benoit Vermersch, and Peter Zoller. Nature Physics 2021. doi: 10.1038/s41567-021-01260-w https://www.nature.com/articles/s41567-021-01260-w

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Researchers Develop New Phonon Laser Design: A Graphene Drum

Schematic representation of an experimental setup for receiving and recording phonon radiation.  (Image Credit: Konstantin Arutyunov et al.) Professor Konstantin Arutyunov of the HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), together with Chinese researchers, has developed a graphene-based mechanical resonator, in which

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