Welcome to this week’s quantum technology digest. We’ve compiled the ten most impactful stories from the past seven days, offering a snapshot of rapid development across the field. This week’s news reflects continued investment in core quantum capabilities alongside exploration of near-term applications. Several articles point to a strong focus on error correction and qubit engineering. IBM expanded its resources through acquisition and integration of new tools, while research teams pursued advances in qLDPC codes and AI-assisted correction methods. Funding announcements from DARPA and the DOE demonstrate ongoing government support for validating designs and improving system performance. Beyond hardware, developers are gaining tools for resource estimation and identifying practical uses for existing quantum computers. D-Wave’s public listing and collaborative work from Quantinuum and SoftBank signal increasing commercialization efforts. IonQ’s demonstration of energy efficiency for quantum AI adds to a growing body of evidence for specific computational advantages. 1. PsiQuantum Secures $125M DARPA Award to Validate Quantum Designs PsiQuantum received a $125 million agreement from the Defense Advanced Research Projects Agency to support rigorous testing under the Quantum Benchmarking Initiative. The company is one of two participants in the program’s final Stage C, which verifies a complete quantum computing approach—hardware, software, and operations—beyond theoretical designs. This performance-based award will fund testing at PsiQuantum’s California and Illinois facilities, strengthening their photonic approach to scaling quantum systems and addressing challenges in cooling and connectivity. Micah Stoutimore of DARPA indicated a utility-scale quantum computer may be realized by 2033, and DARPA was assessing viable pathways to this goal at the time of the agreement. 2. Microsoft’s Tool Estimates Quantum Algorithm Resource Needs for Varied Hardware Microsoft has released the Quantum Resource Estimator (QRE) within its Quantum Development Kit to help developers forecast the hardware requirements of quantum algorithms. The QRE translates programs into estimates