IDAN SHADI

Infinity Quantum

Designing a flexible quantum computer rental platform to simplify complex workflows for researchers & engineers.

Timeline

Mar - Apr 2023

Client

Infinity Quantum Startup

MY ROLE

Product UX/UI Lead

Project Overview

To simplify complex quantum workflows and build trust through clarity and predictability. The goal was to transform a fragmented technical interface into a cohesive, user-centric platform that empowers researchers to focus on science, not administration.

My Responsibility

I led the end-to-end product design lifecycle, bridging the gap between deep technical constraints and intuitive user experience.

The Challenge

Quantum researchers and engineers faced a fragmented, high-complexity interface that hindered experimentation. The existing tools forced users to navigate scattered data, leading to costly errors and inefficient resource usage.

01

Fragmented Workflows

Decision-making was unpredictable due to scattered data across multiple disconnected views. Users had to context-switch constantly to find job statuses.

02

Critical Decisions

High cognitive load with unclear implications for costs and resources. Engineers often launched expensive jobs without knowing the final price tag.

03

Cognitive Fatigue

No optimized dark mode and dense tables without hierarchy caused severe eye strain during long monitoring sessions typical in quantum experiments.

Tagline

Research & Process

 Key Design Focus Areas

  • Hiding complexity until needed to reduce cognitive load during initial monitoring.
  • High-contrast interface specifically tuned for low-light lab environments.
  • Real-time feedback mechanisms to build trust and prevent budget overruns.

Market Analysis

Analyzed competitors (AWS Braket, IBM Quantum, Azure) to identify gaps in cost transparency and usability for non-experts.

Iterative Design

Progressed from low-fi wireframes to a cohesive hi-fi design system, validating logic with users at each stage.

Market Analysis

Analyzed competitors (AWS Braket, IBM Quantum, Azure) to identify gaps in cost transparency and usability for non-experts.

Iterative Design

Progressed from low-fi wireframes to a cohesive hi-fi design system, validating logic with users at each stage.

About Dr. Maya Levi

Dr. Maya Levi is an experienced quantum researcher working on complex experiments that require constant iteration, monitoring, and refinement. She often runs multiple jobs in parallel and relies heavily on accurate logs, calibration data, and resource availability. Her work demands clarity and speed—any friction in the interface directly slows down scientific progress.

Goals:

  • Run quantum experiments efficiently.
  • Monitor job states, logs, and calibration data.
  • Access resources without waiting on admin support.

Frustrations:

  • Dense tables that were hard to filter.
  • Technical data displayed without structure.
  • Slow navigation between jobs and resources.

Needs

  • Dense tables that were hard to filter.
  • Technical data displayed without structure.
  • Slow navigation between jobs and resources.

About Dr. Amir Cohen

Amir Cohen is responsible for maintaining system stability and ensuring that researchers have the resources they need. His daily tasks involve managing users, approving credit and resource requests, and monitoring system health. He works under pressure and needs clarity, consistency, and predictability. A confusing UI can lead to errors that affect the entire organization, so he relies heavily on clean group structures and quick administrative actions.

Goals:

  • Approve credit requests and reservations.
  • Monitor overall system health.
  • Maintain consistency in organizational groups.

Frustrations:

  • Hard to distinguish between parent groups and subgroups.
  • Unclear approval workflows.
  • No centralized summary of system status.

Needs

  • A unified dashboard.
  • Clear labeling of roles, groups, and permissions.
  • Streamlined approval processes.

About Dr. Dana Weiss

Dana Weiss oversees multiple research teams and must balance performance, resource allocation, and project timelines. She depends on high-level insights and clear organizational structures to make strategic decisions. Her work requires clarity, accuracy, and the ability to quickly understand team progress without digging through scattered screens.

Goals:

  • Track team performance and resource costs.
  • Manage users, roles, and access.
  • Review experiment outcomes.

Frustrations:

  • Scattered information across multiple pages.
  • Tables with no grouping or hierarchy.
  • Difficulty viewing organizational structure.

Needs

  • High‑level insights at a glance.
  • Clean, structured data tables.
  • A predictable, consistent system.

User Persona

The Problem

Fragmented Data & Costly Mistakes

Researchers wasted hours cross-referencing SLURM logs, status codes, and error messages scattered across multiple pages. This cognitive overload led to missed errors and idle resources burning budget.

The Problem

Structured Hierarchy & Progressive Disclosure

  • Hiding complexity until needed to reduce cognitive load during initial monitoring.
  • High-contrast interface specifically tuned for low-light lab environments.
  • Real-time feedback mechanisms to build trust and prevent budget overruns.
Faster Job Review
~ 0 %
  • "I no longer need 5 tabs open just to check if my experiment failed."
– Senior Quantum Engineer

The Problem

Opaque Costs & Booking Anxiety

Users feared unexpected charges due to a lack of real-time cost visibility. Multi-step forms without previews led to high abandonment rates, as researchers couldn’t verify budget fit before committing.

The Solution

Guided Flow & Real-Time Transparency

  • Guided Modal: A clear 4-step wizard (Machine → Phase → Parameters → Review) reduces cognitive load.
  • Live Cost Preview: Dynamic pricing updates with every parameter change, visualized via pie charts.
  • Proactive Validation: "Budget Exceeded" warnings appear before submission, preventing admin friction.
Faster Booking
~ 0 %
  • Reduced over-provisioning and eliminated onboarding friction for non-technical users.

The Solution

Business Outcomes

  • Reduced Over-provisioning
  • Improved Resource Optimization
  • Enterprise Scalability
Faster Critical Decisions
0 %
Reduced Time-to-Clarity
0 %
Faster Job Review
0 %
Faster Booking Completion
0 %

Key Learnings

Balancing quantum complexity with enterprise usability revealed four critical insights that will shape the future roadmap of the platform.

01

Fragmented Workflows

In high-density quantum workflows, showing everything at once paralyzes users. Hiding complexity until requested dramatically reduces cognitive load without sacrificing the technical detail experts need.

02

Dark Mode Functional

For engineers monitoring jobs over 8+ hour shifts, a high-contrast dark interface isn’t a “nice-to-have”—it’s an accessibility requirement to prevent eye strain and fatigue errors.

03

Transparency Builds

Real-time cost feedback shifted user behavior from “fear of clicking” to “confident experimentation.” Predictability is the key to unlocking resource usage in enterprise settings.

Let’s connect!

Thank you for your time reviewing my work
If you’d like be more or get in touch, my contact information is provided below.

Email: idanshadi@gmail.com