5 Circuit Qed Jobs

You will be joining an advanced-technology scale-up company operating at the intersection of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The company's hardware division is focused on designing full-stack enterprise quantum computers that encompass superconducting processors, cryogenic control electronics, and RF instrumentation to drive innovations in various sectors such as life sciences, finance, transportation, and space exploration. As a Quantum Device Experimentalist, your primary responsibilities will include designing and conducting quantum-device experiments, ranging from cryogenic fixture design to automated data acquisition for superconducting-qubit characterization. You will develop and refine protocols for measuring coherence times, gate fidelities, and performing quantum-state/process tomography, and integrate these findings into device design enhancements. Additionally, you will be responsible for maintaining, troubleshooting, and optimizing cryogenic measurement stacks and microwave-RF chains to ensure high-quality data collection with minimal noise interference. Your role will also involve implementing data pipelines using Python/MATLAB to process raw traces into meaningful metrics and dashboards for cross-functional teams. Collaboration with quantum-processor, control-electronics, and theory groups will be essential to correlate empirical results with simulations and expedite the design-of-experiments cycles. Furthermore, documenting methodologies, publishing findings, and contributing to the roadmap for next-generation, fault-tolerant quantum processors will be part of your responsibilities. To qualify for this role, you must hold an MSc/MTech/PhD in Physics, Electrical Engineering, Materials Science, or a related field with a focus on quantum technologies. Hands-on experience in designing cryogenic or microwave testbeds and conducting quantum measurements on superconducting qubits or similar platforms is crucial. A solid grasp of circuit QED and error-correction concepts relevant to superconducting hardware is required, along with proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving skills, effective communication abilities, and a collaborative mindset suitable for fast-paced R&D environments are essential. Preferred qualifications for this role include a track record of peer-reviewed publications or conference presentations in quantum technology, experience in writing DoE-driven analysis reports, familiarity with cold-atom or spin-qubit platforms, and knowledge of error-mitigation/bosonic-code techniques with practical implementation. Exposure to clean-room fabrication workflows, contributions to open-source quantum-measurement tooling, or instrument-control libraries would be advantageous. This is a full-time position that requires in-person work at the company's location. If you are interested in this exciting opportunity, please contact the employer at +91 9008078505.,

You will be joining an advanced-technology scale-up company operating at the intersection of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division focuses on designing full-stack enterprise quantum computers encompassing superconducting processors, cryogenic control electronics, and RF instrumentation to drive innovations in various sectors including life sciences, finance, transportation, and space exploration. In this role, you will be responsible for modeling coupled superconducting-qubit systems, creating Hamiltonian-level descriptions, and validating them through extensive numerical simulations to assess error-correction performance. Collaborating closely with processor-design engineers, you will develop and optimize qubit-control schemes to enhance architecture and performance. Additionally, you will design simulation workflows and computational tools to predict coherence times, gate fidelities, and other critical device metrics. You will also be involved in creating experimental protocols and analysis pipelines for quantum-state and process tomography, with the aim of improving theoretical models. Your tasks will include publishing research findings in peer-reviewed publications, authoring technical reports to guide design-of-experiments (DoE), and roadmap decisions. You will play a key role in promoting a culture of rigorous peer review, knowledge-sharing, and cross-functional collaboration within the quantum-hardware program. To be successful in this role, you must hold an MSc/M.Tech/PhD in Physics, Electrical Engineering, or a related field with a strong foundation in quantum mechanics. Deep knowledge of Hamiltonian engineering, circuit QED, and superconducting-qubit error-correction schemes is essential. Proficiency in numerical methods, computational modeling of quantum circuits, and experience with Python-based quantum platforms such as QuTiP, Qiskit, and Cirq is required. You should have expertise in designing protocols for measuring coherence times, gate fidelities, and tomography, as well as a proven track record of peer-reviewed publications in quantum technology. Strong problem-solving and communication skills are crucial for this role. Preferred qualifications include familiarity with bosonic codes, autonomous error-correction, and advanced value-engineering techniques. Experience in writing analytical reports to shape DoE and experimentation roadmaps, working with GPU-accelerated simulators, or contributing to open-source quantum-software libraries would be advantageous. Exposure to hybrid AI-quantum workflows or domain-specific optimization in areas like life sciences, finance, or materials is also desirable. This is a full-time position that requires in-person work at the company's location. If you meet the requirements and are excited about contributing to cutting-edge quantum technology advancements, we look forward to speaking with you.,

You will be working at an advanced-technology scale-up focused on Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division of the company specializes in designing full-stack enterprise quantum computers, including superconducting processors, cryogenic control electronics, and RF instrumentation. The goal is to unlock breakthroughs across various sectors such as life sciences, finance, transportation, and space. As the Quantum Processor Architect, your primary responsibility will be to design fully fault-tolerant and scalable quantum processors. This involves crafting blueprints and error-correction strategies for next-generation devices, with a focus on developing patentable intellectual property. You will also be tasked with designing, simulating, and benchmarking various quantum error-correction codes on noise-biased hardware. Collaboration with cryo-control and fabrication teams to iterate solutions will be crucial in this role. You will need to build numerical tool-chains using Python/QuTiP/Qiskit to model error propagation, mitigation, and gate-fidelity limits. These tools will provide data-driven design insights to enhance the quantum processor's performance. Additionally, prototyping dynamical-decoupling and error-mitigation schemes will be part of your responsibilities to extend coherence and enable bias-preserving logical gates. In this position, it is essential to publish peer-reviewed papers, file patents, and author internal Department of Energy (DoE) reports that influence the company's roadmap and funding decisions. Furthermore, you will play a key role in championing rigorous peer reviews, mentoring junior researchers, and promoting cross-functional knowledge-sharing within the organization. To excel in this role, you are required to have a PhD or MS in Physics, Mathematics, Computer Science, or a related field with a focus on quantum technologies. A minimum of 3 years of experience in designing quantum error-correction codes and fault-tolerant architectures is necessary. Proficiency in Python, MATLAB, and quantum software stacks for large-scale simulations and data analysis is a must. Hands-on experience with dynamical decoupling and error-mitigation techniques on experimental platforms is highly desirable. A strong track record of peer-reviewed publications and successful research projects is also expected. Additionally, familiarity with noise-biased bosonic codes, experience in writing DoE and experimental-improvement reports, and a background in cryogenic control electronics, RF instrumentation, or superconducting-qubit fabrication are preferred qualifications. Proven patent filings or open-source contributions in quantum technology, exposure to GPU-accelerated simulators, and engagement with industry consortia or standards bodies advancing quantum-error-correction research will be advantageous in this role. As the Quantum Processor Architect, your skill set should include expertise in numerical tool-chains, qubit-control schemes, artificial intelligence, dynamical decoupling, Python-based quantum platforms, quantum error-correction codes, problem-solving, superconducting-qubit error-correction schemes, computational modeling of quantum circuits, LDPC codes, communication, quantum software stacks, and fault-tolerant architectures. Your contributions will play a critical role in advancing the company's capabilities in the field of quantum computing and semiconductor engineering.,

At QpiAI, we are at the forefront of the effort to discover the most optimal AI and Quantum systems across various industries such as Life sciences, Healthcare, Transportation, Finance, Industrial, and Space technologies. Our team at QpiAI is dedicated to building full-stack Enterprise Quantum Computers. As a part of the QpiAI Quantum hardware team, you will be responsible for the design and characterization of Quantum Processor, Cryogenic Quantum Control Circuits, RF Control Hardware, and QpiAI ASGP. We are currently looking for a skilled and motivated quantum physicist to join our innovative research and development team. The ideal candidate should possess a solid background in quantum measurements, electrical engineering, and materials science, with a specific emphasis on the characterization of quantum devices. This role will involve designing, implementing, and analyzing experiments aimed at characterizing the performance of superconducting quantum devices, particularly qubits. Requirements: - Hold an MSc/M.Tech/PhD Degree in Physics, Electrical Engineering, or a related field focusing on quantum mechanics or quantum technology. - Have experience in designing and executing experimental setups, as well as conducting quantum measurements using qubits. - Develop and implement experimental protocols for measuring device parameters like coherence times, gate fidelities, and quantum state and process tomography. - Possess a strong skill set, including expertise in cryogenic systems and microwave electronics for the characterization of superconducting qubit devices (a plus). - Demonstrate a solid understanding of circuit QED. - Familiarity with error-correction schemes, particularly in superconducting qubits (a plus). - Proven track record of successful projects involving superconducting materials and devices. - Maintain and optimize cryogenic experimental apparatus to ensure reliable and accurate measurements. - Proficiency in data analysis software and programming languages such as Python, MATLAB, or similar tools. - Publications in peer-reviewed journals or conference presentations in the field of quantum technology are advantageous. - Experience in designing experiments and writing analysis reports. - Strong problem-solving and communication skills. - Ability to work effectively as part of a team. If you meet the above requirements and are enthusiastic about pushing the boundaries of quantum technology, we encourage you to apply for this exciting opportunity at QpiAI.,

As an integral part of an innovative technology scale-up company at the forefront of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering, you will play a crucial role in advancing enterprise quantum computing solutions. Your primary responsibility will involve modeling coupled superconducting-qubit systems, developing Hamiltonian-level descriptions, and conducting extensive numerical simulations to assess error-correction performance. Collaborating closely with processor-design engineers, you will refine qubit-control schemes to enhance architecture and efficiency. Additionally, you will create simulation workflows and computational tools to forecast coherence times, gate fidelities, and other essential device metrics. Your expertise will be instrumental in designing experimental protocols for quantum-state and process tomography, with a focus on integrating findings into theoretical models. Furthermore, you will be expected to contribute to peer-reviewed publications, technical reports, and design-of-experiments decisions. Emphasizing a culture of robust peer review, knowledge exchange, and interdisciplinary cooperation will be a key aspect of your role within the quantum-hardware program. To excel in this position, you must possess a postgraduate degree (MSc/M.Tech/PhD) in Physics, Electrical Engineering, or a related field, with a solid foundation in quantum mechanics. Your proficiency in Hamiltonian engineering, circuit QED, and superconducting-qubit error-correction schemes is imperative. Demonstrated experience in numerical methods, computational modeling of quantum circuits, and proficiency in Python-based quantum platforms such as QuTiP, Qiskit, or Cirq are essential. Your track record of designing protocols for measuring coherence times, gate fidelities, and tomography will be highly valued. Strong problem-solving abilities, effective communication skills, and a history of peer-reviewed publications in quantum technology are prerequisites for this role. Additionally, familiarity with bosonic codes, autonomous error-correction techniques, and advanced value-engineering methods will be advantageous. Experience in crafting analytical reports to influence design-of-experiments strategies and experimentation roadmaps will be beneficial. Prior exposure to GPU-accelerated simulators, distributed-computing pipelines for large-scale quantum modeling, open-source quantum software libraries, or standards bodies will be considered favorable. Knowledge of hybrid AI-quantum workflows or domain-specific optimization in areas such as life sciences, finance, or materials will further enhance your profile for this position. Your expertise in qubit-control schemes, semiconductor technology, quantum-state and process tomography, artificial intelligence, computational modeling of quantum circuits, Hamiltonian engineering, and other specified skills will be pivotal in driving the success of the quantum-hardware program.,