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Infinity Quantum

Complex Ecosystem

Product Design ยท Quantum Research Platform

Infinity Quantum is a hybrid Quantum + HPC platform used by researchers, engineers, and administrators to run experiments, reserve QPUs, monitor jobs, and manage scientific teams through one coherent system.

RoleUX/UI Designer
TimelineMar - Apr 2023
PlatformWebsite / WebApp
The redesign kept the platform's technical depth intact while rebuilding the experience around clarity, decision support, cost transparency, and trust for both expert and non-technical users.
Infinity Quantum hero preview
Overview

Infinity Quantum needed a product experience that could carry highly technical workflows without burying users in operational noise. The redesign focused on trust through clarity, better pricing visibility, and faster access to the information needed for critical experiment decisions.

01End-to-end UX strategy, research, high-fidelity execution, and stakeholder alignment.
02Enterprise workflow design for researchers, operators, and team leads.
03Clearer decision support around logs, cost, resource usage, and booking.
04Progressive disclosure to reduce cognitive overload in dense technical views.
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.

Methodology

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.
01

Market Analysis

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

02

Iterative Design

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

03

Interface Structuring

Reorganized dense workflows around hierarchy, cost trust, and clearer operational states.

04

Decision Support

Added clearer entry points, feedback loops, and safer configuration flows for high-cost actions.

User Persona
Dr. Maya Levi

Dr. Maya Levi

Quantum Researcher

Runs complex experiments and depends on clear visibility into jobs, logs, calibration data, and resource availability.

Needs
  • Fast access to logs and machine states
  • Cleaner hierarchy around technical data
  • Reduced friction during long experiment cycles
Pain Points
  • Dense tables are hard to filter
  • Technical data lacks clear structure
  • Navigation between jobs and resources is too slow
Goals
  • Run quantum experiments efficiently
  • Monitor job states, logs, and calibration data
  • Access resources without waiting on admin support
Dr. Amir Cohen

Dr. Amir Cohen

Operations / Admin Lead

Responsible for approvals, reservations, and organizational consistency, and needs fast administrative control with reliable system visibility.

Needs
  • A unified dashboard
  • Clear labeling of roles, groups, and permissions
  • Streamlined approval processes
Pain Points
  • Hard to distinguish between parent groups and subgroups
  • Approval workflows are unclear
  • No centralized summary of system status
Goals
  • Approve credit requests and reservations
  • Monitor overall system health
  • Maintain consistency across organizational groups
Dr. Dana Weiss

Dr. Dana Weiss

Team Manager

Oversees team performance, resource costs, and system-wide clarity, and needs structured insights without jumping between disconnected screens.

Needs
  • High-level insights at a glance
  • Clean, structured data tables
  • A predictable, consistent system
Pain Points
  • Scattered information across multiple pages
  • Tables lack grouping and hierarchy
  • Difficult to view organizational structure
Goals
  • Track team performance and resource costs
  • Manage users, roles, and access
  • Review experiment outcomes
Monitoring Flow
01The 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 Solution

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.
Impact~40%Faster job review

"I no longer need 5 tabs open just to check if my experiment failed." - Senior Quantum Engineer

Booking Flow
02The 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 could not 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 through charts.
  • Proactive validation: budget warnings appear before submission, preventing admin friction.
Impact~60%Faster booking

Reduced over-provisioning and lowered onboarding friction for non-technical users.

Business Outcomes

The redesigned platform improved operational confidence and made quantum infrastructure easier to use at enterprise scale.

0130%Faster critical decisions
0260%Reduced time-to-clarity
0340%Faster job review
0460%Faster booking completion
Key Learnings

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

01

Progressive Disclosure Matters

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

02

Dark Mode Is Functional

For engineers monitoring jobs over long shifts, a high-contrast dark interface is an accessibility requirement that helps prevent eye strain and fatigue errors.

03

Transparency Builds Trust

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

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