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| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| D-Wave Systems | 3/3 | https://en.wikipedia.org/wiki/D-Wave_Systems | reference | science, encyclopedia | 2026-05-05T11:06:52.071639+00:00 | kb-cron |
== Incidents and criticisms == Despite its pioneering role in quantum annealing, D-Wave has faced criticism regarding the practical utility and commercial viability of its systems. In March 2025, D-Wave announced that it had achieved what it described as "quantum supremacy," reporting that its latest quantum annealer solved a specialized optimization problem faster than the world's most powerful classical supercomputers could replicate the result. The Wall Street Journal noted that while the experiment demonstrated a performance gap favoring D-Wave's hardware, skeptics argued the problem was carefully chosen to highlight the system's strengths and did not reflect general-purpose computational tasks. Critics further observed that advances in classical algorithms might soon close this benchmark gap, suggesting that D-Wave's claimed supremacy may be limited to narrow, contrived applications rather than broad, real-world problems. In April 2025, independent investment research firm Kerrisdale Capital argued that D-Wave's market valuation was "disconnected from its stagnating revenue and lack of broad commercial adoption," highlighting concerns over significant share dilution and questioning the company's path to profitability.
== See also == List of companies involved in quantum computing or communication Adiabatic quantum computation Analog computer AQUA@home Flux qubit Quantum annealing Superconducting quantum computing IBM Q System One
== References ==
== External links ==
Official website "Announcement of the 16-qubit quantum computer demonstration". January 19, 2007. Quantum Computing Day 2: Image Recognition with an Adiabatic Quantum Computer on YouTube. Karimi, Kamran; Dickson, Neil G.; et al. (January 27, 2011). "Investigating the Performance of an Adiabatic Quantum Optimization Processor". arXiv:1006.4147 [quant-ph]. Theoretical performance of a D-Wave processor. Ghosh, A.; Mukherjee, S. (December 2, 2013). "Quantum Annealing and Computation: A Brief Documentary Note". Science and Culture. 79: 485–500. arXiv:1310.1339. Bibcode:2013arXiv1310.1339G.