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IonQ: Significant Revenue Growth Ahead As Tech Stack Scales
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quantum-computing

IonQ: Significant Revenue Growth Ahead As Tech Stack Scales

The Asian Investor33.2K FollowersFollowSummaryIonQ is a leading quantum computing firm, poised to more than double full-year revenues amid rapid market evolution.IONQ’s quantum solutions are integrated into major cloud platforms, targeting enterprise, government, and research sectors for complex data problems.The quantum computing market, including networking and cybersecurity, is projected to reach $215 billion by 2040, supporting IONQ’s high-growth thesis.IONQ remains high-risk due to high costs and execution challenges but offers high-reward potential as cloud and cybersecurity adoption accelerates.Just_Super/E+ via Getty Images IonQ (IONQ) is a leading quantum computing firm, headquartered in Maryland, and on track to more than double its revenues this year. IonQ provides full-stack tech solutions in the fields of hardware, cloud access, software integration, networking, and security and is seeingThis article was written byThe Asian Investor33.2K FollowersFollowI am interested in a lot of technology and AI stocks like Google, Nvidia, AMD, Tesla and Amazon.Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or

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Investigating Interacting Fermionic Models with Locality-Preserving Qubit Encodingsquantum-computing

Investigating Interacting Fermionic Models with Locality-Preserving Qubit Encodings

--> Quantum Physics arXiv:2609.16142 (quant-ph) [Submitted on 14 Sep 2026] Title:Investigating Interacting Fermionic Models with Locality-Preserving Qubit Encodings Authors:Ashutosh P. Tripathi, Debasish Banerjee, Sandip Maiti, Nilmani Mathur View a PDF of the paper titled Investigating Interacting Fermionic Models with Locality-Preserving Qubit Encodings, by Ashutosh P. Tripathi and 2 other authors View PDF HTML (experimental) Abstract:We investigate the utility of the locality-preserving Derby-Klassen (DK) fermion-to-qubit mapping [arXiv:2003.06939] for variational quantum simulation of two-dimensional $t$-$V$ and Fermi-Hubbard models. The DK mapping preserves the locality of fermionic interactions with an enlarged Hilbert space, thereby requiring additional constraints that define the physical sector. We incorporate these constraints directly into a Hamiltonian Variational Ansätz (HVA) through Clifford-gate state preparation and use the Variational Quantum Eigensolver (VQE) to show that the low-energy properties of the resulting qubit Hamiltonian are accurately reproduced. We further exploit particle-number conservation inherent in the ansätz to resolve distinct symmetry sectors and reliably access degenerate states. Consequently, we benchmark the DK-HVA against Jordan-Wigner-based variational circuits at nonzero chemical potential, where particle-hole symmetry and the associated half-filled sign-free condition are absent. Finally, we demonstrate the advantage of locality-preserving mappings in higher-dimensional fermionic systems, where the conventional Jordan-Wigner (JW) transformation generates increasingly long Pauli strings and corresponding circuit overheads. We further extend the framework to the spinful Fermi-Hubbard model and identify a tradeoff between fermionic-mode placement and the locality of hopping and on-site interaction terms. These results establish a practical framework combining locality-preserving fermion-to-qubit mappings, constraint-preser

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Towards Block-Level Fault-Tolerant Quantum Simulation on Small High-Rate Non-CSS Codesquantum-computing

Towards Block-Level Fault-Tolerant Quantum Simulation on Small High-Rate Non-CSS Codes

--> Quantum Physics arXiv:2609.16159 (quant-ph) [Submitted on 14 Sep 2026] Title:Towards Block-Level Fault-Tolerant Quantum Simulation on Small High-Rate Non-CSS Codes Authors:Zhuangzhuang Chen, Narayanan Rengaswamy View a PDF of the paper titled Towards Block-Level Fault-Tolerant Quantum Simulation on Small High-Rate Non-CSS Codes, by Zhuangzhuang Chen and 1 other authors View PDF HTML (experimental) Abstract:Small high-rate non-CSS stabilizer codes provide compact platforms for encoded quantum computation, but mixed-Pauli checks and limited native transversal logical gates complicate fault-tolerant dynamics. Block-level constructions offer an alternative by mapping an entire logical block to a physical circuit rather than compiling separately protected logical gates. We investigate this approach using the high-rate [[8,3,3]] non-CSS code and logical Trotter circuits as a testbed. We construct flagged syndrome-extraction circuits and establish a circuit-level memory pseudo-threshold near \(1.5\times10^{-3}\). We then apply our symplectic-transvection construction, which maps a logical Trotter circuit to a physical circuit with the same block pattern for any stabilizer code. Although this mapping preserves the intended unitary algebraically, encoded Trotter circuits exhibit asymmetry between logical-\(X\) and logical-\(Z\) failure channels. Single-fault analysis identifies the mechanism: a fault on the shared parity ancilla can propagate through the uncomputation network into an undetectable logical operator, reducing the effective circuit distance in the affected sector. We evaluate flag-conditioned recovery, biased-noise decoding, CliNR resource verification, flag postselection, and asymmetric gate-noise models. These methods suppress propagated faults but do not simultaneously suppress both logical sectors in the realistic configurations studied. A diagnostic protected limit removing the identified malignant first-order locations restores pseudo-threshold behavio

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