Welcome to Quantum Signals: Revolutionizing Finance with AI and Quantum Computing
Insider Brief
- Quantum Signals, co-founded by Yianni Gamvros and Iordanis Kerenidis, launched with backing from investor Quantonation to offer AI-quantum hybrid solutions for the finance sector.
- The company’s initial product optimizes large order execution with advanced AI, with plans to integrate quantum computing as the technology advances.
- Quantum Signals is committed to ethical innovation, ensuring responsible applications of their technology.
Quantum Signals, a new venture co-founded by Yianni Gamvros and Iordanis Kerenidis, has launched with the goal of reshaping the finance sector through the application of artificial intelligence (AI) and quantum computing, according to a Quantonation blog post.
The company, supported by Quantonation, a key investor in the quantum technology space, aims to improve how traders handle large order executions and enhance the decision-making processes in financial markets.
In its announcement, Quantonation pointed out the long-standing contributions of Gamvros and Kerenidis to the quantum industry, showing confidence in Quantum Signals’ ability to deliver significant advancements in the financial sector.
Based on the company blog, Quantum Signals’ initial offering focuses on optimizing the execution of large orders for traders, utilizing AI algorithms to analyze and act on market data in real-time. The integration of quantum computing is a long-term goal, building on the foundation of their AI-driven platform.
Combining AI and Quantum for Trading
Quantum Signals is taking a hybrid approach to market analysis by fusing advanced AI models with quantum insights as the technology matures. While quantum computing remains in development, the company has chosen to begin with classical AI-based products that address immediate market needs.
The platform provides trading signals, predicting mid-price movements and liquidity trends of equities and futures during intraday trading sessions. This data-driven approach empowers traders and portfolio managers to make more informed decisions, offering practical tools for managing large portfolios or conducting frequent trades. AI enables Quantum Signals to generate accurate forecasts guiding trading strategies for improved profitability and risk management.
Quantum Signals’ platform models the financial market microstructure with precision, delivering real-time insights to better understand liquidity and price movements. This AI-driven tool is just the beginning of a powerful suite of solutions that will incorporate quantum computing technology in the future.
Practical Solutions with Quantum Ambitions
The founders emphasize that Quantum Signals’ approach is rooted in today’s technological landscape while holding a vision for the future of quantum computing. Starting with AI and classical computational methods addresses immediate finance pain points like order execution efficiency and market signal analysis, with plans to incorporate quantum computing insights as the technology progresses.
Quantum computing can solve complex problems classical computers struggle with, especially in optimization crucial to financial algorithms. While quantum technology integration is still in the future, Quantum Signals is preparing to leverage these advancements by designing AI systems to incorporate quantum capabilities when ready.
Focus on Ethics and Sustainability
Quantum Signals prioritizes ethical and sustainable innovation, ensuring technology serves constructive purposes and avoiding military applications. This aligns with concerns in the AI and quantum communities about responsible tech development and deployment.
Additionally, the company commits to stakeholder well-being, making business decisions with long-term customer, employee, and societal impacts in mind.