Welcome to our dedicated page for Quantum Computing news (Ticker: QUBT), a resource for investors and traders seeking the latest updates and insights on Quantum Computing stock.
Quantum Computing Inc. reports developments tied to quantum optics, integrated photonics and thin-film lithium niobate photonic-chip manufacturing. The company provides quantum machines and TFLN foundry services, with a portfolio that spans photonics components, subsystems and full-stack systems for high-performance computing, artificial intelligence, cybersecurity and remote sensing applications.
Recurring QUBT news includes product and platform updates such as NeuraWave for photonic AI inference and Dirac-3 quantum optimization hardware, customer-access and network deployments, quantum-secured communications demonstrations, acquisition integration, conference participation, shareholder calls and operating and financial results.
Quantum Computing Inc. (Nasdaq: QUBT), a company specializing in integrated photonics and quantum optics technology, announced its participation in the J.P. Morgan Qubit Series fireside chat on May 20, 2025, at 9:00 a.m. ET. The company's Interim CEO Dr. Yuping Huang and CFO Chris Boehmler will represent QUBT at this invitation-only event for J.P. Morgan clients.
QCi develops affordable quantum machines and TFLN foundry services that operate at room temperature and low power. The company's technology portfolio focuses on high-performance computing, artificial intelligence, cybersecurity, and remote sensing applications.
Quantum Computing Inc. (NASDAQ: QUBT) has announced key executive promotions to support its growth strategy. Dr. Milan Begliarbekov, former Director of Quantum Foundry, has been promoted to Chief Operating Officer, while Dr. Pouya Dianat has been elevated to Chief Revenue Officer. These appointments follow significant milestones, including the completion of QCi's quantum photonic chip foundry in Tempe, Arizona in March 2025 and successful pilot chip sales.
Dr. Begliarbekov brings 13+ years of experience in nanofabrication and will oversee daily operations, manufacturing efficiency, and production scaling. Dr. Dianat, with over a decade of experience in commercializing photonic technologies, will lead global commercial strategy and revenue expansion. The company's new foundry, which received ISO certification ahead of schedule, positions QCi to meet growing global demand for TFLN (thin-film lithium niobate) photonic chips.
Quantum Computing Inc. (NASDAQ: QUBT) has announced its upcoming first quarter 2025 earnings conference call and webcast, scheduled for Thursday, May 15, 2025, at 4:30 p.m. Eastern Time. The company will release its Q1 2025 financial results after market close on the same day.
Shareholders can access the webcast through QCi's Investor Relations page or via a direct webcast link. To join by phone, participants should dial (888) 506-0062 (US) or (973) 528-0011 (International) using access code 832763. A replay will be available until May 29, 2025, accessible by dialing (877) 481-4010 (US) or (919) 882-2331 (International) with conference ID 52325.
Quantum Computing (QUBT) has secured a $406,478 subcontract to support NASA's Langley Research Center in developing quantum computing solutions for space LIDAR data analysis. The contract, awarded through Analytical Mechanics Associates, runs until May 31, 2026.
Using their Dirac-3 quantum computer, QCi will work on removing sunlight noise from space LIDAR data, addressing a major challenge in NASA's daytime atmospheric sensing and Earth observation missions. The current solutions require large, power-hungry hardware that increases mission costs. QCi's quantum-based approach aims to improve signal-to-noise ratio without adding physical payload.
The project will focus on enhancing data processing for NASA's CALIPSO and ICESat-2 satellites. If successful, this quantum solution could enable NASA to achieve desired performance with smaller telescopes and lower-power lasers, potentially reducing costs for future LIDAR missions.
Quantum Computing Inc. (QUBT) has announced the sale and delivery of an EmuCore reservoir computer to a major automotive manufacturer for research and development purposes. The EmuCore device, built on a field-programmable gate array (FPGA), offers machine learning capabilities for time series prediction and image recognition in a fast, affordable, and energy-efficient manner.
The implementation serves as a validation platform for customers evaluating applications for QCi's upcoming PCIe-based photonic reservoir computing units, which are expected to deliver enhanced performance per watt for AI and sensor-rich environments. The technology shows promise for AI model training, offering advantages in power consumption and processing time for edge computing applications.