Taiwan Quantum Computing group hosts finance debate

TAQCIT will host a debate on the urgent need for financial institutions to prepare for quantum computing threats at CellWine Saloon in Taipei City on December 15, 2026. The event, Night of Debate 02, will bring together individuals interested in finance, cybersecurity and quantum technology to discuss whether a proactive or staged approach to post-quantum cryptography is best.

According to TAQCIT, financial institutions should immediately prioritize the migration to post-quantum cryptography (PQC), as asset inventory, testing, and supply chain adjustments require significant time and resources. Early bird tickets costing NT$1,200 are available until 23:59 on November 20.

TAQCIT Salon Focus: Prioritizing Migration to Post-Quantum Cryptography

The event, Night of Debate 02, acknowledges that immediate action requires more than just technical solutions, demanding a reallocation of budgets and personnel. TAQCIT states that inventory of cryptographic assets, system testing, supply chain collaboration, and cryptographic agility all take time, but prioritizing immediately also means that organizations must reallocate budgets, manpower and execution order, the company says. The discussion will center on whether a rapid, full-scale migration is preferable to a phased approach based on assessed risk and available resources.

TAQCIT specifically invites individuals involved in finance, cybersecurity, compliance, risk governance and quantum technology to attend, listen to diverse viewpoints, and formulate their own conclusions. Each ticket includes one glass of wine or sparkling water, alongside unlimited soft drinks, encouraging in-person engagement with the complex challenges of quantum-resistant security.

Financial institutions should immediately prioritize the migration to post-quantum cryptography (PQC).

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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