Quantum computing is progressing quickly, with IBM introducing a 433-qubit processor and Google showcasing error correction techniques in 2023.
Quantum computing developments over the past 12 months, including reports of progress at IBM, Google, Intel, Microsoft and Atom Computing.
# 2023 could be the breakthrough year for quantum computing. 2022 has been a dynamic year for quantum computing. For both public and private quantum companies, it will help when a few make strides toward creating useful cases with near-term quantum computers. Far from it, the holy grail of quantum computing will continue to be building a machine capable of fault tolerance. Even though it's everything to some quantum companies and investors, the future corporate users of quantum computing will largely see it as too far off the time horizon to care much. Those tenders and the fact that they will be run through several of the world’s HPC centers will force the quantum computing industry to live up to the rigor of tender requirements, and the delivery obligations which come with it. As the race is on to develop quantum computers to gain a strategic lead in cybersecurity, intelligence operations and the economic industry, expect increasing restrictions to limit technological exchange and increasing impact on supply chains.
2021 may prove to be a breakthrough year for quantum computing stocks, with 2 pure-play quantum computing companies going public, investment rising from both public and private sources, governments recognizing quantum’s strategic importance, and more incidences of quantum showing its value. 2021 saw more investment in quantum computing stocks than ever before. The IDC predicts that investment in quantum computing will continue at a CAGR of 11.3% for the next 6 years, reaching almost $16.4 billion by 2027.14. With so many signs of future success, now could be the time for investors to invest in quantum computing stocks. For people who want to be part of the quantum revolution without trying to select the best quantum computing stocks to buy, a quantum computing ETF like Defiance QTUM offers a way to spread your investment across a number of promising quantum computing companies and mitigate exposure to single stick selection risk. How the rise of Quantum Computing companies on the Stock market is creating excitement for the entire industry” October 27, 2021.
Close to 2 million people checked out stories about quantum research advances, funding rounds, and Lego’s quantum computing proposal on The Quantum Insider this year — and here are the top ten Quantum news stories of 2023, according to our own analytics. ### #1 Russian Scientists Present 16-Qubit Quantum Computer. Russian Scientists Present 16-Qubit Quantum Computer. Russian Scientists Present 16-Qubit Quantum Computer. A team of Russian physicists presented a 16-qubit quantum computer at the Forum for Future Technologies in Russia that appears to combine trapped ion and photonics approaches, according to a post from Rosatom, the Russian State Nuclear Energy Corporation . In addition, Intel is collaborating with the Laboratory for Physical Sciences (LPS) at the University of Maryland, College Park’s Qubit Collaboratory (LQC), a national-level Quantum Information Sciences (QIS) Research Center, to advance quantum computing research. **For more market insights, check out our latest** **quantum computing news here****.**. ### 12 Top Quantum Computing Universities in 2025.
**Video**: In 2023, computer scientists made progress on a new vector-driven approach to AI, fundamentally improved Shor’s algorithm for factoring large numbers, and examined the surprising and powerful behaviors that can emerge from large language models. Other big algorithm news this year included a new way of computing prime numbers by incorporating random and deterministic approaches, the refutation of a long-standing conjecture about the performance of information-limited algorithms, and an analysis that shows how an unintuitive idea can improve the performance of gradient descent algorithms, which are ubiquitous in machine learning programs and other areas. In fact, late last year, a team of computer scientists showed that for a specific problem, a classical algorithm does roughly as well as a quantum one that includes errors. These kinds of security issues are part of the reason Cynthia Rudin has championed using interpretable models to better understand what’s happening inside machine learning algorithms; researchers like Yael Tauman Kalai, meanwhile, have advanced our notions of security and privacy, even in the face of looming quantum technology.
Quantum computing breaktrhroughs including new hardware, smarter algorithms, and clearer signs of “quantum advantage,” bring once-theoretical machines closer to real-world use. The field has been plagued from day one by the fact that [quantum computers](https://www.discovermagazine.com/new-microsoft-quantum-computing-chip-could-revolutionize-the-industry-47150) are inherently unstable. Decoherence leads to computational errors, so error correction is the central challenge of [quantum computing](https://www.discovermagazine.com/quantum-computers-are-physicists-latest-tools-for-discovering-quantum-43673). **Read More:** [Quantum Computing Approach Generates First Ever Truly Random Number](https://www.discovermagazine.com/quantum-computing-approach-generates-first-ever-truly-random-number-47334). The ultimate goal for [quantum computing](https://www.discovermagazine.com/quantum-communication-milestone-could-pave-way-for-faster-more-secure-47459), of course, is to solve problems beyond the reach of classical computers. After several tantalizing decades, Aaronson added, quantum computers are beginning to perform “like the theory said [they] would 30 years ago.”. * This article references information from the National Institute of Standards and Technology (NIST): [Quantum Computing Explained](https://www.nist.gov/quantum-information-science/quantum-computing-explained). * This article references information from a study published in *Nature*: [Quantum error correction below the surface code threshold](https://www.nature.com/articles/s41586-024-08449-y). * This article references information from a study published in *arXiv*: Helios: [A 98-qubit trapped-ion quantum computer](https://arxiv.org/abs/2511.05465).
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