What Quantum Brings to the Trading Table Quantum computing doesn’t just outperform classical computing on raw power—it operates on entirely different principles. Using qubits, which can exist in multiple states at once, quantum systems evaluate many potential outcomes simultaneously. This allows them to process deeply interrelated variables in ways classical systems can’t. For stock market trading, this means: • Faster, more accurate portfolio optimization • Richer market simulations under complex constraints • Signal detection from noisy, non-linear data • Rapid recalculation of trading strategies under shifting conditions Amy Kwalwasser has spent the last several years at the frontier of these breakthroughs, designing quantum algorithms that directly target these use cases. Her approach combines theoretical precision with applied pragmatism—each project aimed at delivering measurable value on real financial data. Real Tools, Real Markets Amy’s projects span hedge funds, asset managers, and high-frequency trading firms—each with different needs, but one common goal: decision advantage. In one flagship initiative, Amy led the development of a quantum-powered risk model that accounts for cascading correlations in extreme market events. The model helped identify hidden exposure across a firm’s equity and options portfolio—exposure that traditional VaR (Value at Risk) tools had missed. In another case, she worked on a hybrid quantum-classical algorithm that optimizes multi-asset trade execution across fragmented markets. The system analyzes order book depth, volatility, and latency risk to determine how to split orders across venues—boosting execution efficiency in volatile windows. What makes Amy’s work distinctive is that it’s deployment-ready. She builds tools that run today—on quantum hardware where possible, or using quantum-inspired logic when necessary—ensuring firms get benefit now while preparing for the hardware of tomorrow. A Strategic Voice in a Complex Space Quantum computing may be powerful, but it’s also notoriously complex. That’s why Amy plays an important role as strategic translator—helping executives, technologists, and traders align around clear, realistic quantum goals. She advises senior leadership on when to invest, how to identify the right use cases, and how to build internal talent pipelines. Her “Quantum Integration Framework,” now used by multiple trading firms, lays out a phased plan for: • Testing quantum algorithms in sandbox environments • Evaluating cloud-based quantum API providers • Integrating quantum insights into classical decision engines • Building internal readiness for hybrid workflows Her reputation for balanced, no-hype guidance has made her a sought-after advisor to innovation teams and tech-forward investment funds alike. Where Quantum and AI Intersect One of Amy’s most promising areas of exploration is the intersection of quantum computing and artificial intelligence.

1. Amy Kwalwasser: Redefining Market
Intelligence with Quantum Computing
In the competitive world of stock market trading, milliseconds make millions. Algorithms race
against each other in a blur of numbers, signals, and trades, each seeking the tiniest edge. But even
as firms invest heavily in speed, some are beginning to realize that raw velocity isn’t enough. The
true edge lies in understanding—in modeling complex markets not faster, but smarter. That’s
where Amy Kwalwasser comes in.
As a Quantum Computing Specialist, Amy is helping the financial world reimagine how it
processes uncertainty, risk, and opportunity. Her work focuses on integrating quantum algorithms
into the heart of trading operations, transforming how data is interpreted, how portfolios are
optimized, and how strategies are deployed.
In a landscape where traditional computing is hitting its ceiling, Amy is building the floor for what
comes next.
What Quantum Brings to the Trading Table
Quantum computing doesn’t just outperform classical computing on raw power—it operates on
entirely different principles. Using qubits, which can exist in multiple states at once, quantum
systems evaluate many potential outcomes simultaneously. This allows them to process deeply
interrelated variables in ways classical systems can’t.
For stock market trading, this means:
• Faster, more accurate portfolio optimization
• Richer market simulations under complex constraints

2. • Signal detection from noisy, non-linear data
• Rapid recalculation of trading strategies under shifting conditions
Amy Kwalwasser has spent the last several years at the frontier of these breakthroughs, designing
quantum algorithms that directly target these use cases. Her approach combines theoretical
precision with applied pragmatism—each project aimed at delivering measurable value on real
financial data.
Real Tools, Real Markets
Amy’s projects span hedge funds, asset managers, and high-frequency trading firms—each with
different needs, but one common goal: decision advantage.
In one flagship initiative, Amy led the development of a quantum-powered risk model that accounts
for cascading correlations in extreme market events. The model helped identify hidden exposure
across a firm’s equity and options portfolio—exposure that traditional VaR (Value at Risk) tools had
missed.
In another case, she worked on a hybrid quantum-classical algorithm that optimizes multi-asset
trade execution across fragmented markets. The system analyzes order book depth, volatility, and
latency risk to determine how to split orders across venues—boosting execution efficiency in
volatile windows.
What makes Amy’s work distinctive is that it’s deployment-ready. She builds tools that run today
—on quantum hardware where possible, or using quantum-inspired logic when necessary—
ensuring firms get benefit now while preparing for the hardware of tomorrow.
A Strategic Voice in a Complex Space
Quantum computing may be powerful, but it’s also notoriously complex. That’s why Amy plays an
important role as strategic translator—helping executives, technologists, and traders align around
clear, realistic quantum goals.
She advises senior leadership on when to invest, how to identify the right use cases, and how to
build internal talent pipelines. Her “Quantum Integration Framework,” now used by multiple
trading firms, lays out a phased plan for:
• Testing quantum algorithms in sandbox environments
• Evaluating cloud-based quantum API providers
• Integrating quantum insights into classical decision engines
• Building internal readiness for hybrid workflows
Her reputation for balanced, no-hype guidance has made her a sought-after advisor to innovation
teams and tech-forward investment funds alike.

3. Where Quantum and AI Intersect
One of Amy’s most promising areas of exploration is the intersection of quantum computing and
artificial intelligence. In trading, AI is already common—but its limitations are becoming more
visible in dynamic environments with sparse, fast-changing data.
Amy’s work in quantum-enhanced machine learning (QML) focuses on improving model
training and adaptability. In one recent experiment, her team used a quantum kernel method to
cluster sentiment data from news and earnings calls—resulting in more accurate sector rotation
forecasts during volatile periods.
She believes that as QML matures, it will help solve some of the hardest challenges in algorithmic
trading: strategy drift, overfitting, and black-box opacity.
Architecting the Future of Finance
More than a technologist, Amy Kwalwasser is a systems thinker. She understands that quantum
won’t succeed through breakthroughs alone—it needs infrastructure, regulation, and people.
She’s actively shaping that ecosystem. She works with standards bodies on best practices for
validating quantum models in regulated industries. She mentors emerging talent through cross-
disciplinary programs. And she’s a vocal advocate for responsible quantum deployment—
emphasizing explainability, auditability, and ethical alignment as core to her designs.
Her vision is long-term but laser-focused: create the foundation for a financial system that is not
only faster, but more resilient, more transparent, and more intelligent.
Final Thoughts: An Edge Built on Insight
As financial markets grow more complex, the tools we use to navigate them must evolve. Quantum
computing, once the realm of experimental physics, is now offering concrete benefits to the firms
that are ready to explore it.
Thanks to the work of experts like Amy Kwalwasser, quantum is no longer a distant vision. It’s a
real, usable edge—one that empowers traders to make decisions with clarity, agility, and
confidence.
And as markets become more unpredictable, that kind of edge may be the most valuable asset of all.