QCVis is a quantum circuit visualization and education platform for novices. The rapid growth of the quantum computing field surpasses the educational capacity of existing systems, which makes novices particularly in need of accessible tools. Often, novices struggle to understand two fundamental concepts: how quantum gates affect both qubit and quantum circuit state probabilities over time. QCVis contributes two novel visualizations to develop this intuition. One visualization teaches users about the relationship between gates and single qubit probabilities. This feature integrates stacked bar charts into the traditional quantum circuit diagram to display the state probability of a single qubit after each gate application. The other visualization provides insight into the intermediate steps that contribute to the final state probability distribution. The combination of a radial bar chart and a time slider helps users see the state probability of a quantum circuit at a user-specified execution step and observe how it changes over time. We evaluated the design of QCVis in a user study with novices, who successfully used our interface to understand these key quantum computing concepts.
QCVis is a quantum circuit visualization and education platform for novices. The rapid growth of the quantum computing field surpasses the educational capacity of existing systems, which makes novices particularly in need of accessible tools. Often, novices struggle to understand two fundamental concepts: how quantum gates affect both qubit and quantum circuit state probabilities over time. QCVis contributes two novel visualizations to develop this intuition. One visualization teaches users about the relationship between gates and single qubit probabilities. This feature integrates stacked bar charts into the traditional quantum circuit diagram to display the state probability of a single qubit after each gate application. The other visualization provides insight into the intermediate steps that contribute to the final state probability distribution. The combination of a radial bar chart and a time slider helps users see the state probability of a quantum circuit at a user-specified execution step and observe how it changes over time. We evaluated the design of QCVis in a user study with novices, who successfully used our interface to understand these key quantum computing concepts.
As quantum computing research continues to thrive, the education of quantum computing becomes increasingly more difficult. The complexity of designing and simulating quantum circuits presents significant challenges to students, educators, and researchers. To address these challenges, we introduce QCanvas, a browser-based interactive platform for design, visualization, and simulation. QCanvas enables users to construct quantum circuits through an intuitive drag-and-drop interface while supporting multiple quantum computing paradigms including qubit-based, photonic, and variational models. The platform seamlessly integrates educational resources with practical circuit construction, allowing users to create annotated, interactive notes and simulations. Circuits designed in the visual interface are automatically translated to executable code for simulation in the cloud or, in future iterations, execution on real quantum hardware. By combining accessibility with comprehensive functionality, QCanvas bridges the gap between theoretical quantum computing concepts and practical implementation, providing a versatile tool for education, collaboration, and algorithm prototyping across the community.
With the rapid progress of quantum computation recently, it attracts a substantial amount of people to learn quantum computation. Quantum computation differs a lot from classical computation. To help novices learn quantum computation, we conducted a interview with people who are learning quantum computation and found that novices feel confused about 1) how quantum gates contribute to the final results in a complicated quantum circuit and 2) how the final results generate steps along the quantum circuits. Thus, we present QuFlow, an interactive visualization tool for teaching the fundamentals of quantum computation. Users can use it to build a quantum circuit, then QuFlow will simulate the quantum circuit in a classical computer. After simulation, QuFlow will not only present the final output results of quantum circuits but also shows how the parameters change along the quantum circuits. A qualitative user study was carried out among target users, and the results suggested that QuFlow could be effective for learning quantum computation.
Quantum circuit synthesis is fundamental to the advancement and realization of quantum computing. To support both researchers and learners in exploring the structure and behavior of quantum circuits, this paper presents a dedicated interactive visualization platform specifically designed for quantum circuit synthesis: the Quantum Circuit Synthesis Visualizer (QSynViz). The platform offers intuitive circuit editing, matrix visualization, target-to-circuit distance computation, and dynamic tracking of the synthesis process. By making circuit structures and optimization trajectories visually accessible, QSynViz enables users to directly observe, analyze, and refine circuit designs. Bridging visual intuition with algorithmic insight, QSynViz serves as a powerful tool for circuit optimization, synthesis algorithm evaluation, and quantum computing education.
Quantum computing offers significant speedup compared to classical computing, which has led to a growing interest among users in learning and applying quantum computing across various applications. However, quantum circuits, which are fundamental for implementing quantum algorithms, can be challenging for users to understand due to their underlying logic, such as the temporal evolution of quantum states and the effect of quantum amplitudes on the probability of basis quantum states. To fill this research gap, we propose QuantumEyes, an interactive visual analytics system to enhance the interpretability of quantum circuits through both global and local levels. For the global-level analysis, we present three coupled visualizations to delineate the changes of quantum states and the underlying reasons: a Probability Summary View to overview the probability evolution of quantum states; a State Evolution View to enable an in-depth analysis of the influence of quantum gates on the quantum states; a Gate Explanation View to show the individual qubit states and facilitate a better understanding of the effect of quantum gates. For the local-level analysis, we design a novel geometrical visualization dandelion chart to explicitly reveal how the quantum amplitudes affect the probability of the quantum state. We thoroughly evaluated QuantumEyes as well as the novel dandelion chart integrated into it through two case studies on different types of quantum algorithms and in-depth expert interviews with 12 domain experts. The results demonstrate the effectiveness and usability of our approach in enhancing the interpretability of quantum circuits.
Abstract Quantum computing utilizes the concepts of quantum mechanics, including superposition and entanglement, to execute calculations that are impractical for traditional computers. Central to this approach is the qubit, a quantum equivalent of the traditional bit, capable of being in a superposition of states. Nonetheless, the conceptual essence of quantum states renders them hard to visualize and comprehend, particularly for students and professionals who are unfamiliar with the domain. To tackle this issue, we created an interactive qubit visualization tool using Streamlit, enabling real-time exploration of qubit behavior under quantum operations.The app enables users to control qubit states directly by modifying the real and imaginary components of probability amplitudes, guaranteeing the normalization of the state vector. It also incorporates a set of essential quantum gates, including Hadamard, Pauli-X, Pauli-Y, and Pauli-Z, as well as continuous rotation gates (Rx, Ry, Rz). In contrast to distinct button-driven functions, the rotation gates are implemented dynamically via angle sliders, enabling users to witness seamless, real-time updates to the qubit state. This provides an intuitive understanding of qubit evolution as it revolves around the Bloch sphere axes.The tool displays the outcomes in both numerical and graphical formats. Users are able to observe the quantum state vector, as well as the probabilities of obtaining |0⟩ and |1⟩, and visual depictions through probability bar charts and Bloch sphere visualizations. By providing a live, interactive setting, this platform connects the divide between mathematical theory and conceptual grasp of quantum mechanics. It functions as both a learning tool for students and a prototyping support for researchers, rendering quantum computation more approachable and captivating.
As quantum computing transitions from theoretical physics to engineering applications, there is a growing need for accessible simulation tools that bridge the gap between abstract linear algebra and practical implementation. While text-based frameworks (like Qiskit or Cirq) are standard, they often present a steep learning curve for students and engineers accustomed to graphical system design. This paper introduces QuVI (Quantum Virtual Instrument), an open-source quantum circuit toolkit developed natively within the NI LabVIEW environment. Moving beyond initial proof-of-concept models, QuVI establishes a robust framework that leverages LabVIEW's "dataflow" paradigm, in which wires represent data and nodes represent operations, to provide an intuitive, visual analog to standard quantum circuit notation while enabling the seamless integration of classical control structures like loops and conditionals. The toolkit's capabilities are demonstrated by constructing and visualizing fundamental quantum algorithms and verifying results against theoretical predictions. By translating "Block Diagrams" directly into quantum state evolutions ("Bloch Spheres"), QuVI offers educators and researchers a powerful platform for prototyping quantum logic without leaving the graphical engineering workspace.