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Advancing Excellence in Computing and Technology for 80 Years

The IEEE Computer Society is the world’s leading organization for computing professionals. As we celebrate our 80th anniversary in 2026, we continue to build on a rich legacy through conferences, publications, and programs that bring together computer science and engineering leaders at every stage of their careers. Click here to learn more and celebrate community.

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2026 Candidate Slate is now Available for the IEEE CS Elections
LOS ALAMITOS, Calif., (15 June 2026) – The IEEE Computer Society (IEEE CS) Board of Governors has officially approved the slate of candidates for the 2026 election. This is your opportunity to voice your vision and select the leaders who will guide our society forward. Your vote helps choose our next president-elect, vice president, and the new members of the Board of Governors.Key Election Dates: Voting Opens: Friday, 14 August 2026 Voting Closes: Friday, 18 September 2026 at 12 noon EDT We’ve made voting quick and easy. All eligible members will receive an email with direct voting instructions and a link to your secure online ballot. Simply log on to the IEEE CS election site in your email to cast your vote from anywhere in the world.Only IEEE CS members without an email address in their member record, or those who have opted out of IEEE email communications, will receive a paper ballot package. Paper ballots must be returned by mail using the business reply envelope provided, or to IEEE Technical Activities, Attn: SGA, 445 Hoes Lane, PO Box 1331, Piscataway, NJ 08855-1331, USA.If you need assistance or would like to request a paper ballot, call +1-732-562-3904 or email ieee-computervote@ieee.org.Get to Know Your CandidatesElected officers will serve a one-year term, and Board members will serve a three-year term, with all roles beginning on 1 January 2027. To help you make an informed decision, candidate biographies and position statements will be featured in the August issue of Computer magazine, delivered straight to all IEEE CS members.The 2026 Slate of CandidatesThe Nominations Committee is proud to present the following recommended nominees for our 2027 officers and the 2027-2029 Board of Governors are as follows (in alphabetical order):2027 President-Elect Nominees (2028 President) Saurabh Bagchi, Purdue University, KeyByte LLC Terry Benzel, Institute of Information…

IEEE Computer Society

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Trends
AI-Accelerated Quantum Cryptography: How Soon Should the Enterprise Be Ready?
Artificial intelligence has joined both sides of the cryptographic fight β€” accelerating progress toward a capable quantum adversary and, at the same time, making enterprise‑scale post‑quantum migration tractable. For security leaders in 2026, readiness is no longer a 2035 problem.The timeline has changed. For most of the last decade, enterprise security leaders were told that a Cryptographically Relevant Quantum Computer (CRQC) β€” one capable of breaking RSA‑2048 or ECC‑256 β€” was a ten‑ to twenty‑year problem. That framing is now obsolete. Qubit counts are climbing, error‑correction thresholds are being crossed, resource estimates for canonical attack circuits have dropped by roughly an order of magnitude, and artificial intelligence has joined both the attack and the defense. For CISOs in 2026, the question is no longer whether to migrate to post‑quantum cryptography, but how fast, and in what order.When Trends last surveyed this terrain in late 2024, the emphasis was on awareness β€” that RSA and ECC would not survive a capable quantum adversary, and that NIST was close to publishing replacements. Eighteen months later, the standards are final: ML‑KEM for key establishment, and ML‑DSA and SLH‑DSA for signatures, all published in August 2024. The conversation has moved from awareness to execution, and AI is the hinge on which that execution turns.Where AI Meets Quantum CryptographyThree threads are now braided together. The first is hardware: superconducting, trapped‑ion, and photonic platforms are converging on fault‑tolerant logical qubits, with vendor roadmaps targeting hundreds to thousands of logical qubits by the end of this decade.The second is algorithmic: refinements to Shor’s algorithm and its variants have trimmed the resource estimate for factoring RSA‑2048 by roughly an order of magnitude since the early 2010s. The third, and newest, is artificial intelligence.Machine‑learning systems are now being used to optimize quantum algorithms, discover side‑channel leakage in post‑quantum implementations,…

Hitesh Chugani

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Trends
Why Quantum Error Correction Has Become a Full-Stack Engineering Problem
Quantum error correction used to sound like a narrow theory topic. It was often framed as a code design problem, or as a question for physicists working close to the chip. That view no longer fits the field. In the last few years, the strongest progress in quantum error correction has shown something more demanding: a logical qubit only improves when the whole machine improves with it. That includes device physics, calibration, readout, control electronics, decoding, compiler choices, runtime scheduling, and system architecture.This shift changes the engineering question. The key question is no longer, β€œCan we encode one logical qubit at all?” The better question is this: can every layer of the stack move fast enough, and cleanly enough, to protect that logical qubit while useful work is happening? A second question follows right behind it: if the hardware gets better, but the decoder stalls, the routing adds loss, or the compiler creates avoidable overhead, where does the logical gain go?The Meaning of the Recent ProgressThe recent progress in quantum error correction matters because it moved the field from promise to system pressure. Google reported surface-code memories operating below threshold, including a distance-7 memory and a distance-5 memory with a real-time decoder. In that regime, increasing code size improved logical behavior rather than making it worse. That is a major result, but it also makes the next bottleneck easier to see. Once larger encoded states begin to help, every part of the path that touches syndrome data, timing, and control becomes important.This is why quantum error correction is now a full-stack problem. The code is not running in a vacuum. It runs on a chip with calibration drift, measurement error, crosstalk, control pulse limits, cryogenic wiring limits, and finite readout bandwidth. It also runs through a classical path that has…

Deepika Bhatia

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