Quip.Network launches quantum-classical blockchain testnet, opens doors to global research community
Postquant Labs, the developer building Quip.Network, the first worldwide distributed quantum compute network, announced today that it has launched a publicly available quantum-classical blockchain ...
ACM, the Association for Computing Machinery, today named Matei Zaharia as the recipient of the ACM Prize in Computing for his visionary development of distributed data systems and computing ...
Qubit-agnostic quantum compiler to enable greater modularity, scale, and utility to accelerate the path to utility-scale ...
On World Quantum Day 2026, tangible breakthroughs like IonQ’s networked quantum systems and Nvidia’s infrastructure push ...
The SEALSQ Quantum Vertical Stack is structured as four foundational security layers and three operational quantum verticals, unified by the SEALQuantum photonic interconnect platform and capped by ...
Shares of IonQ climbed after the company said it had photonically interconnected two independent trapped-ion quantum systems, which it described as a key technical milestone on the path to quantum ...
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Cisco unveils research prototype of new switch in quantum networking push
Cisco announced a working research prototype of a "Universal Quantum Switch" for quantum networking. Cisco stock has gained 16% in 2026.
Market Size & Growth. The global data center market was worth USD 187.35 billion in 2020 and is expected to reach a value of ...
Data centers already account for a measurable share of global electricity consumption, and most projections suggest this will ...
Curious how robot swarms can operate far longer in 6G edge computing setups? A new Engineering study reveals a smart subset selection strategy that taps into data correlation between robots, cutting ...
The SIGMOD community honors the research of BIFOLD researchers Arnab Phani and Matthias Böhm. Their work on eliminating the inefficient reuse of intermediate computations across multi-backend machine ...
When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...
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